TUGAS MODUL

KARAKTERISTIK DATA

#install.packages(c("tidyverse", "psych", "corrplot", "GPArotation", "knitr"))

library(tidyverse)

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## ✔ lubridate 1.9.5     ✔ tidyr     1.3.2
## ✔ purrr     1.2.1     
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library(psych)

## 
## Attaching package: 'psych'
## 
## The following objects are masked from 'package:ggplot2':
## 
##     %+%, alpha

library(corrplot)

## corrplot 0.95 loaded

data <- read.csv("WineQT.csv")
head(data)

##   fixed.acidity volatile.acidity citric.acid residual.sugar chlorides
## 1           7.4             0.70        0.00            1.9     0.076
## 2           7.8             0.88        0.00            2.6     0.098
## 3           7.8             0.76        0.04            2.3     0.092
## 4          11.2             0.28        0.56            1.9     0.075
## 5           7.4             0.70        0.00            1.9     0.076
## 6           7.4             0.66        0.00            1.8     0.075
##   free.sulfur.dioxide total.sulfur.dioxide density   pH sulphates alcohol
## 1                  11                   34  0.9978 3.51      0.56     9.4
## 2                  25                   67  0.9968 3.20      0.68     9.8
## 3                  15                   54  0.9970 3.26      0.65     9.8
## 4                  17                   60  0.9980 3.16      0.58     9.8
## 5                  11                   34  0.9978 3.51      0.56     9.4
## 6                  13                   40  0.9978 3.51      0.56     9.4
##   quality Id
## 1       5  0
## 2       5  1
## 3       5  2
## 4       6  3
## 5       5  4
## 6       5  5

str(data)

## 'data.frame':    1143 obs. of  13 variables:
##  $ fixed.acidity       : num  7.4 7.8 7.8 11.2 7.4 7.4 7.9 7.3 7.8 6.7 ...
##  $ volatile.acidity    : num  0.7 0.88 0.76 0.28 0.7 0.66 0.6 0.65 0.58 0.58 ...
##  $ citric.acid         : num  0 0 0.04 0.56 0 0 0.06 0 0.02 0.08 ...
##  $ residual.sugar      : num  1.9 2.6 2.3 1.9 1.9 1.8 1.6 1.2 2 1.8 ...
##  $ chlorides           : num  0.076 0.098 0.092 0.075 0.076 0.075 0.069 0.065 0.073 0.097 ...
##  $ free.sulfur.dioxide : num  11 25 15 17 11 13 15 15 9 15 ...
##  $ total.sulfur.dioxide: num  34 67 54 60 34 40 59 21 18 65 ...
##  $ density             : num  0.998 0.997 0.997 0.998 0.998 ...
##  $ pH                  : num  3.51 3.2 3.26 3.16 3.51 3.51 3.3 3.39 3.36 3.28 ...
##  $ sulphates           : num  0.56 0.68 0.65 0.58 0.56 0.56 0.46 0.47 0.57 0.54 ...
##  $ alcohol             : num  9.4 9.8 9.8 9.8 9.4 9.4 9.4 10 9.5 9.2 ...
##  $ quality             : int  5 5 5 6 5 5 5 7 7 5 ...
##  $ Id                  : int  0 1 2 3 4 5 6 7 8 10 ...

dim(data)

## [1] 1143   13

library(knitr)
data_clean <- data[, !(names(data) %in% c("Id"))]
desc <- describe(data_clean)
kable(round(desc,2), caption = "Tabel 1. Statistik Deskriptif Variabel Wine Quality")

Tabel 1. Statistik Deskriptif Variabel Wine Quality
	vars	n	mean	sd	median	trimmed	mad	min	max	range	skew	kurtosis	se
fixed.acidity	1	1143	8.31	1.75	7.90	8.13	1.33	4.60	15.90	11.30	1.04	1.37	0.05
volatile.acidity	2	1143	0.53	0.18	0.52	0.52	0.18	0.12	1.58	1.46	0.68	1.36	0.01
citric.acid	3	1143	0.27	0.20	0.25	0.26	0.25	0.00	1.00	1.00	0.37	-0.72	0.01
residual.sugar	4	1143	2.53	1.36	2.20	2.26	0.44	0.90	15.50	14.60	4.35	27.50	0.04
chlorides	5	1143	0.09	0.05	0.08	0.08	0.01	0.01	0.61	0.60	6.01	46.78	0.00
free.sulfur.dioxide	6	1143	15.62	10.25	13.00	14.34	8.90	1.00	68.00	67.00	1.23	1.91	0.30
total.sulfur.dioxide	7	1143	45.91	32.78	37.00	41.20	26.69	6.00	289.00	283.00	1.66	5.06	0.97
density	8	1143	1.00	0.00	1.00	1.00	0.00	0.99	1.00	0.01	0.10	0.87	0.00
pH	9	1143	3.31	0.16	3.31	3.31	0.15	2.74	4.01	1.27	0.22	0.91	0.00
sulphates	10	1143	0.66	0.17	0.62	0.64	0.12	0.33	2.00	1.67	2.49	11.93	0.01
alcohol	11	1143	10.44	1.08	10.20	10.33	1.04	8.40	14.90	6.50	0.86	0.21	0.03
quality	12	1143	5.66	0.81	6.00	5.60	1.48	3.00	8.00	5.00	0.29	0.30	0.02

missing <- colSums(is.na(data_clean))
kable(as.data.frame(missing),
      caption = "Tabel 2. Jumlah Missing Value")

Tabel 2. Jumlah Missing Value
	missing
fixed.acidity	0
volatile.acidity	0
citric.acid	0
residual.sugar	0
chlorides	0
free.sulfur.dioxide	0
total.sulfur.dioxide	0
density	0
pH	0
sulphates	0
alcohol	0
quality	0

data %>%
  select(-Id) %>%   
  gather(key = "Variabel", value = "Nilai") %>%
  ggplot(aes(x = Nilai)) +
  facet_wrap(~Variabel, scales = "free") +
  geom_histogram(bins = 30, fill = "skyblue") +
  theme_minimal()

data_numeric <- data_clean[, !(names(data_clean) %in% c("quality"))]

cor_matrix <- cor(data_numeric)

kable(round(cor_matrix,2),
      caption = "Tabel 3. Matriks Korelasi Variabel Kimia Wine")

Tabel 3. Matriks Korelasi Variabel Kimia Wine
	fixed.acidity	volatile.acidity	citric.acid	residual.sugar	chlorides	free.sulfur.dioxide	total.sulfur.dioxide	density	pH	sulphates	alcohol
fixed.acidity	1.00	-0.25	0.67	0.17	0.11	-0.16	-0.11	0.68	-0.69	0.17	-0.08
volatile.acidity	-0.25	1.00	-0.54	-0.01	0.06	0.00	0.08	0.02	0.22	-0.28	-0.20
citric.acid	0.67	-0.54	1.00	0.18	0.25	-0.06	0.04	0.38	-0.55	0.33	0.11
residual.sugar	0.17	-0.01	0.18	1.00	0.07	0.17	0.19	0.38	-0.12	0.02	0.06
chlorides	0.11	0.06	0.25	0.07	1.00	0.02	0.05	0.21	-0.28	0.37	-0.23
free.sulfur.dioxide	-0.16	0.00	-0.06	0.17	0.02	1.00	0.66	-0.05	0.07	0.03	-0.05
total.sulfur.dioxide	-0.11	0.08	0.04	0.19	0.05	0.66	1.00	0.05	-0.06	0.03	-0.19
density	0.68	0.02	0.38	0.38	0.21	-0.05	0.05	1.00	-0.35	0.14	-0.49
pH	-0.69	0.22	-0.55	-0.12	-0.28	0.07	-0.06	-0.35	1.00	-0.19	0.23
sulphates	0.17	-0.28	0.33	0.02	0.37	0.03	0.03	0.14	-0.19	1.00	0.09
alcohol	-0.08	-0.20	0.11	0.06	-0.23	-0.05	-0.19	-0.49	0.23	0.09	1.00

corrplot(cor_matrix, method="color", type="upper",
         tl.col="black", tl.cex=0.7)

data_numeric %>%
  gather(key="Variabel", value="Nilai") %>%
  ggplot(aes(x=Variabel, y=Nilai)) +
  geom_boxplot(fill="salmon") +
  theme_minimal() +
  theme(axis.text.x = element_text(angle=90))

ASUMSI (Analisis Kelayakan Faktor) 1. KMO

data_final_vars <- data_numeric

repeat {
  kmo_current <- KMO(data_final_vars)
  msa_vars <- kmo_current$MSAi

  if (all(msa_vars >= 0.5)) {
    cat("Semua variabel sudah memiliki MSA >= 0.5\n")
    break
  }

  var_low <- names(which.min(msa_vars))
  cat("Menghapus variabel:", var_low, "dengan MSA:", min(msa_vars), "\n")

  data_final_vars <- data_final_vars[, !(names(data_final_vars) %in% var_low)]

  if (ncol(data_final_vars) < 2) break
}

## Menghapus variabel: alcohol dengan MSA: 0.2238148 
## Menghapus variabel: chlorides dengan MSA: 0.3654371 
## Menghapus variabel: total.sulfur.dioxide dengan MSA: 0.4319254 
## Semua variabel sudah memiliki MSA >= 0.5

kmo_final <- KMO(data_final_vars)
kmo_final

## Kaiser-Meyer-Olkin factor adequacy
## Call: KMO(r = data_final_vars)
## Overall MSA =  0.65
## MSA for each item = 
##       fixed.acidity    volatile.acidity         citric.acid      residual.sugar 
##                0.62                0.63                0.74                0.52 
## free.sulfur.dioxide             density                  pH           sulphates 
##                0.52                0.57                0.74                0.71

kable(data_final_vars,
      caption = "Tabel 4. Eigenvalue dan Proporsi Keragaman PCA (8 Variabel)")

Tabel 4. Eigenvalue dan Proporsi Keragaman PCA (8 Variabel)
fixed.acidity	volatile.acidity	citric.acid	residual.sugar	free.sulfur.dioxide	density	pH	sulphates
7.4	0.700	0.00	1.90	11.0	0.99780	3.51	0.56
7.8	0.880	0.00	2.60	25.0	0.99680	3.20	0.68
7.8	0.760	0.04	2.30	15.0	0.99700	3.26	0.65
11.2	0.280	0.56	1.90	17.0	0.99800	3.16	0.58
7.4	0.700	0.00	1.90	11.0	0.99780	3.51	0.56
7.4	0.660	0.00	1.80	13.0	0.99780	3.51	0.56
7.9	0.600	0.06	1.60	15.0	0.99640	3.30	0.46
7.3	0.650	0.00	1.20	15.0	0.99460	3.39	0.47
7.8	0.580	0.02	2.00	9.0	0.99680	3.36	0.57
6.7	0.580	0.08	1.80	15.0	0.99590	3.28	0.54
5.6	0.615	0.00	1.60	16.0	0.99430	3.58	0.52
7.8	0.610	0.29	1.60	9.0	0.99740	3.26	1.56
8.5	0.280	0.56	1.80	35.0	0.99690	3.30	0.75
7.9	0.320	0.51	1.80	17.0	0.99690	3.04	1.08
7.6	0.390	0.31	2.30	23.0	0.99820	3.52	0.65
7.9	0.430	0.21	1.60	10.0	0.99660	3.17	0.91
8.5	0.490	0.11	2.30	9.0	0.99680	3.17	0.53
6.9	0.400	0.14	2.40	21.0	0.99680	3.43	0.63
6.3	0.390	0.16	1.40	11.0	0.99550	3.34	0.56
7.6	0.410	0.24	1.80	4.0	0.99620	3.28	0.59
7.1	0.710	0.00	1.90	14.0	0.99720	3.47	0.55
7.8	0.645	0.00	2.00	8.0	0.99640	3.38	0.59
6.7	0.675	0.07	2.40	17.0	0.99580	3.35	0.54
8.3	0.655	0.12	2.30	15.0	0.99660	3.17	0.66
5.2	0.320	0.25	1.80	13.0	0.99570	3.38	0.55
7.8	0.645	0.00	5.50	5.0	0.99860	3.40	0.55
7.8	0.600	0.14	2.40	3.0	0.99750	3.42	0.60
8.1	0.380	0.28	2.10	13.0	0.99680	3.23	0.73
7.3	0.450	0.36	5.90	12.0	0.99780	3.33	0.83
8.8	0.610	0.30	2.80	17.0	0.99760	3.26	0.51
7.5	0.490	0.20	2.60	8.0	0.99680	3.21	0.90
8.1	0.660	0.22	2.20	9.0	0.99680	3.30	1.20
4.6	0.520	0.15	2.10	8.0	0.99340	3.90	0.56
7.7	0.935	0.43	2.20	22.0	0.99700	3.25	0.73
8.8	0.660	0.26	1.70	4.0	0.99710	3.15	0.74
6.6	0.520	0.04	2.20	8.0	0.99560	3.40	0.63
6.6	0.500	0.04	2.10	6.0	0.99550	3.39	0.64
8.6	0.380	0.36	3.00	30.0	0.99700	3.20	0.56
7.6	0.510	0.15	2.80	33.0	0.99550	3.17	0.63
10.2	0.420	0.57	3.40	4.0	0.99710	3.04	0.63
7.8	0.590	0.18	2.30	17.0	0.99750	3.43	0.59
7.3	0.390	0.31	2.40	9.0	0.99620	3.41	0.54
8.8	0.400	0.40	2.20	19.0	0.99800	3.44	0.64
7.7	0.690	0.49	1.80	20.0	0.99680	3.21	0.71
7.0	0.735	0.05	2.00	13.0	0.99660	3.39	0.57
7.2	0.725	0.05	4.65	4.0	0.99620	3.41	0.39
7.2	0.725	0.05	4.65	4.0	0.99620	3.41	0.39
6.6	0.705	0.07	1.60	6.0	0.99620	3.44	0.58
8.0	0.705	0.05	1.90	8.0	0.99620	3.34	0.95
7.7	0.690	0.22	1.90	18.0	0.99610	3.31	0.48
8.3	0.675	0.26	2.10	11.0	0.99760	3.31	0.53
8.8	0.410	0.64	2.20	9.0	0.99860	3.54	0.66
6.8	0.785	0.00	2.40	14.0	0.99660	3.52	0.55
6.7	0.750	0.12	2.00	12.0	0.99580	3.38	0.52
8.3	0.625	0.20	1.50	27.0	0.99720	3.16	1.12
6.2	0.450	0.20	1.60	3.0	0.99580	3.41	0.56
7.4	0.500	0.47	2.00	21.0	0.99700	3.36	0.57
6.3	0.300	0.48	1.80	18.0	0.99590	3.44	0.78
6.9	0.550	0.15	2.20	19.0	0.99610	3.41	0.59
8.6	0.490	0.28	1.90	20.0	0.99720	2.93	1.95
7.7	0.490	0.26	1.90	9.0	0.99660	3.39	0.64
9.3	0.390	0.44	2.10	34.0	0.99780	3.14	1.22
7.0	0.620	0.08	1.80	8.0	0.99780	3.48	0.53
7.9	0.520	0.26	1.90	42.0	0.99640	3.23	0.54
8.6	0.490	0.28	1.90	20.0	0.99720	2.93	1.95
7.7	0.490	0.26	1.90	9.0	0.99660	3.39	0.64
5.0	1.020	0.04	1.40	41.0	0.99380	3.75	0.48
6.8	0.775	0.00	3.00	8.0	0.99650	3.45	0.56
7.6	0.900	0.06	2.50	5.0	0.99670	3.39	0.56
8.1	0.545	0.18	1.90	13.0	0.99720	3.30	0.59
8.3	0.610	0.30	2.10	11.0	0.99720	3.40	0.61
8.1	0.545	0.18	1.90	13.0	0.99720	3.30	0.59
8.1	0.575	0.22	2.10	12.0	0.99670	3.29	0.51
7.2	0.490	0.24	2.20	5.0	0.99600	3.33	0.48
8.1	0.575	0.22	2.10	12.0	0.99670	3.29	0.51
7.8	0.410	0.68	1.70	18.0	0.99730	3.08	1.31
6.2	0.630	0.31	1.70	15.0	0.99690	3.46	0.79
7.8	0.560	0.19	1.80	12.0	0.99640	3.19	0.93
8.4	0.620	0.09	2.20	11.0	0.99640	3.15	0.66
10.1	0.310	0.44	2.30	22.0	0.99880	3.32	0.67
7.8	0.560	0.19	1.80	12.0	0.99640	3.19	0.93
9.4	0.400	0.31	2.20	13.0	0.99660	3.07	0.63
8.3	0.540	0.28	1.90	11.0	0.99780	3.39	0.61
7.3	1.070	0.09	1.70	10.0	0.99620	3.30	0.57
8.8	0.550	0.04	2.20	14.0	0.99620	3.21	0.60
7.3	0.695	0.00	2.50	3.0	0.99800	3.49	0.52
7.8	0.500	0.17	1.60	21.0	0.99600	3.39	0.48
8.2	1.330	0.00	1.70	3.0	0.99640	3.53	0.49
8.1	1.330	0.00	1.80	3.0	0.99640	3.54	0.48
8.0	0.590	0.16	1.80	3.0	0.99620	3.42	0.92
8.0	0.745	0.56	2.00	30.0	0.99680	3.24	0.66
5.6	0.500	0.09	2.30	17.0	0.99370	3.63	0.63
7.9	1.040	0.05	2.20	13.0	0.99590	3.22	0.55
8.4	0.745	0.11	1.90	16.0	0.99650	3.19	0.82
7.2	0.415	0.36	2.00	13.0	0.99720	3.48	0.64
8.4	0.745	0.11	1.90	16.0	0.99650	3.19	0.82
5.2	0.340	0.00	1.80	27.0	0.99160	3.68	0.79
6.3	0.390	0.08	1.70	3.0	0.99540	3.34	0.58
5.2	0.340	0.00	1.80	27.0	0.99160	3.68	0.79
8.1	0.670	0.55	1.80	32.0	0.99680	3.17	0.62
5.8	0.680	0.02	1.80	21.0	0.99440	3.54	0.52
6.9	0.490	0.10	2.30	12.0	0.99590	3.42	0.58
7.3	0.330	0.47	2.10	5.0	0.99580	3.33	0.53
9.2	0.520	1.00	3.40	32.0	0.99960	2.74	2.00
7.5	0.600	0.03	1.80	25.0	0.99500	3.35	0.54
7.5	0.600	0.03	1.80	25.0	0.99500	3.35	0.54
7.1	0.430	0.42	5.50	28.0	0.99730	3.42	0.71
7.1	0.430	0.42	5.50	29.0	0.99730	3.42	0.72
7.1	0.430	0.42	5.50	28.0	0.99730	3.42	0.71
7.1	0.680	0.00	2.20	12.0	0.99690	3.48	0.50
6.8	0.600	0.18	1.90	18.0	0.99680	3.59	0.57
7.6	0.950	0.03	2.00	7.0	0.99590	3.20	0.56
7.6	0.680	0.02	1.30	9.0	0.99650	3.17	1.08
7.8	0.530	0.04	1.70	17.0	0.99640	3.33	0.56
7.4	0.600	0.26	7.30	36.0	0.99820	3.37	0.49
7.3	0.590	0.26	7.20	35.0	0.99810	3.37	0.49
7.8	0.630	0.48	1.70	14.0	0.99610	3.19	0.62
6.8	0.640	0.10	2.10	18.0	0.99560	3.34	0.52
7.3	0.550	0.03	1.60	17.0	0.99560	3.37	0.48
6.8	0.630	0.07	2.10	11.0	0.99530	3.47	0.55
7.9	0.885	0.03	1.80	4.0	0.99720	3.36	0.33
8.0	0.420	0.17	2.00	6.0	0.99720	3.29	0.61
7.4	0.620	0.05	1.90	24.0	0.99610	3.42	0.57
6.9	0.500	0.04	1.50	19.0	0.99580	3.35	0.78
7.3	0.380	0.21	2.00	7.0	0.99610	3.33	0.47
7.5	0.520	0.42	2.30	8.0	0.99720	3.58	0.61
7.0	0.805	0.00	2.50	7.0	0.99690	3.48	0.56
8.8	0.610	0.14	2.40	10.0	0.99690	3.19	0.59
8.8	0.610	0.14	2.40	10.0	0.99690	3.19	0.59
8.9	0.610	0.49	2.00	23.0	0.99720	3.12	1.02
7.2	0.730	0.02	2.50	16.0	0.99720	3.44	0.52
6.8	0.610	0.20	1.80	11.0	0.99710	3.54	0.58
6.7	0.620	0.21	1.90	8.0	0.99700	3.52	0.58
8.9	0.310	0.57	2.00	26.0	0.99710	3.26	0.53
7.4	0.390	0.48	2.00	14.0	0.99720	3.34	0.55
7.9	0.500	0.33	2.00	15.0	0.99680	3.20	0.55
8.2	0.500	0.35	2.90	21.0	0.99760	3.23	0.62
6.4	0.370	0.25	1.90	21.0	0.99740	3.57	0.62
7.6	0.550	0.21	2.20	7.0	0.99640	3.28	0.55
7.6	0.550	0.21	2.20	7.0	0.99640	3.28	0.55
7.3	0.580	0.30	2.40	15.0	0.99680	3.46	0.59
11.5	0.300	0.60	2.00	12.0	0.99810	3.11	0.97
6.9	1.090	0.06	2.10	12.0	0.99480	3.51	0.43
9.6	0.320	0.47	1.40	9.0	0.99695	3.22	0.82
7.0	0.430	0.36	1.60	14.0	0.99615	3.34	0.56
12.8	0.300	0.74	2.60	9.0	0.99940	3.20	0.77
12.8	0.300	0.74	2.60	9.0	0.99940	3.20	0.77
7.8	0.440	0.28	2.70	18.0	0.99660	3.22	0.67
9.7	0.530	0.60	2.00	5.0	0.99585	3.30	0.86
8.0	0.725	0.24	2.80	10.0	0.99685	3.35	0.56
8.2	0.570	0.26	2.20	28.0	0.99590	3.30	0.43
7.8	0.735	0.08	2.40	10.0	0.99740	3.24	0.71
7.0	0.490	0.49	5.60	26.0	0.99740	3.34	0.76
8.7	0.625	0.16	2.00	13.0	0.99620	3.14	0.57
8.1	0.725	0.22	2.20	11.0	0.99670	3.36	0.55
7.5	0.490	0.19	1.90	10.0	0.99570	3.39	0.54
7.8	0.340	0.37	2.00	24.0	0.99640	3.34	0.59
7.4	0.530	0.26	2.00	16.0	0.99570	3.15	0.57
6.8	0.610	0.04	1.50	5.0	0.99525	3.42	0.60
8.6	0.645	0.25	2.00	8.0	0.99815	3.28	0.60
7.7	0.430	0.25	2.60	29.0	0.99615	3.37	0.58
8.9	0.590	0.50	2.00	27.0	0.99640	3.04	1.61
5.2	0.480	0.04	1.60	19.0	0.99270	3.54	0.62
8.0	0.380	0.06	1.80	12.0	0.99625	3.37	0.52
8.5	0.370	0.20	2.80	18.0	0.99800	3.34	0.70
8.2	1.000	0.09	2.30	7.0	0.99685	3.32	0.55
7.2	0.630	0.00	1.90	14.0	0.99675	3.37	0.58
8.9	0.635	0.37	1.70	5.0	0.99710	3.00	1.09
12.0	0.380	0.56	2.10	6.0	0.99925	3.14	0.71
7.7	0.580	0.10	1.80	28.0	0.99565	3.08	0.49
15.0	0.210	0.44	2.20	10.0	1.00005	3.07	0.84
15.0	0.210	0.44	2.20	10.0	1.00005	3.07	0.84
7.3	0.660	0.00	2.00	6.0	0.99830	3.61	0.96
7.1	0.680	0.07	1.90	16.0	0.99685	3.38	0.52
7.3	0.660	0.00	2.00	6.0	0.99830	3.61	0.96
10.8	0.320	0.44	1.60	16.0	0.99850	3.22	0.78
7.1	0.600	0.00	1.80	16.0	0.99720	3.47	0.70
11.1	0.350	0.48	3.10	5.0	0.99860	3.17	0.53
7.7	0.775	0.42	1.90	8.0	0.99590	3.23	0.59
8.0	0.570	0.23	3.20	17.0	0.99675	3.26	0.57
9.4	0.340	0.37	2.20	5.0	0.99800	3.22	0.62
6.6	0.695	0.00	2.10	12.0	0.99680	3.49	0.67
7.7	0.410	0.76	1.80	8.0	0.99680	3.06	1.26
10.0	0.310	0.47	2.60	14.0	0.99965	3.36	0.80
7.9	0.330	0.23	1.70	18.0	0.99625	3.29	0.65
7.0	0.975	0.04	2.00	12.0	0.99565	3.35	0.60
8.0	0.520	0.03	1.70	10.0	0.99575	3.34	0.57
7.9	0.370	0.23	1.80	23.0	0.99630	3.28	0.67
12.5	0.560	0.49	2.40	5.0	0.99990	3.08	0.87
8.1	0.870	0.00	3.30	26.0	1.00025	3.60	0.72
7.9	0.350	0.46	3.60	15.0	0.99730	3.35	0.86
6.9	0.540	0.04	3.00	7.0	0.99870	3.69	0.91
11.5	0.180	0.51	4.00	4.0	0.99960	3.28	0.97
7.9	0.545	0.06	4.00	27.0	0.99650	3.36	0.67
7.9	0.545	0.06	4.00	27.0	0.99650	3.36	0.67
6.9	0.540	0.04	3.00	7.0	0.99870	3.69	0.91
11.5	0.180	0.51	4.00	4.0	0.99960	3.28	0.97
10.3	0.320	0.45	6.40	5.0	0.99760	3.23	0.82
8.9	0.400	0.32	5.60	10.0	0.99910	3.38	0.77
11.4	0.260	0.44	3.60	6.0	0.99860	3.12	0.82
7.7	0.270	0.68	3.50	5.0	0.99720	3.25	1.08
8.9	0.400	0.32	5.60	10.0	0.99910	3.38	0.77
9.9	0.590	0.07	3.40	32.0	1.00015	3.31	0.71
9.9	0.590	0.07	3.40	32.0	1.00015	3.31	0.71
12.0	0.450	0.55	2.00	25.0	0.99970	3.10	0.76
7.5	0.400	0.12	3.00	29.0	0.99670	3.37	0.70
8.7	0.520	0.09	2.50	20.0	0.99760	3.34	0.86
11.6	0.420	0.53	3.30	33.0	1.00100	3.20	0.95
8.7	0.520	0.09	2.50	20.0	0.99760	3.34	0.86
10.4	0.550	0.23	2.70	18.0	0.99940	3.22	0.64
6.9	0.360	0.25	2.40	5.0	0.99640	3.41	0.60
13.3	0.340	0.52	3.20	17.0	1.00140	3.05	0.81
10.8	0.500	0.46	2.50	5.0	1.00010	3.05	0.64
10.6	0.830	0.37	2.60	26.0	0.99810	3.16	0.52
7.1	0.630	0.06	2.00	8.0	0.99855	3.67	0.73
7.2	0.650	0.02	2.30	5.0	0.99930	3.67	0.80
7.5	0.530	0.06	2.60	20.0	0.99650	3.38	0.59
11.1	0.180	0.48	1.50	7.0	0.99730	3.22	0.64
8.3	0.705	0.12	2.60	12.0	0.99940	3.51	0.72
8.4	0.650	0.60	2.10	12.0	0.99730	3.20	0.52
7.6	0.620	0.32	2.20	7.0	0.99660	3.36	0.52
10.3	0.410	0.42	2.40	6.0	0.99940	3.19	0.62
10.3	0.430	0.44	2.40	5.0	0.99940	3.19	0.63
7.9	0.530	0.24	2.00	15.0	0.99600	3.27	0.54
9.0	0.460	0.31	2.80	19.0	0.99815	3.32	0.63
8.6	0.470	0.30	3.00	30.0	0.99760	3.30	0.53
7.4	0.360	0.29	2.60	26.0	0.99645	3.39	0.68
9.8	0.660	0.39	3.20	21.0	0.99890	3.37	0.71
9.6	0.770	0.12	2.90	30.0	0.99865	3.30	0.64
9.3	0.610	0.26	3.40	25.0	0.99975	3.24	0.62
10.0	0.490	0.20	11.00	13.0	1.00150	3.16	0.69
10.0	0.490	0.20	11.00	13.0	1.00150	3.16	0.69
11.6	0.530	0.66	3.65	6.0	0.99780	3.05	0.74
10.3	0.440	0.50	4.50	5.0	0.99800	3.28	0.83
13.4	0.270	0.62	2.60	6.0	1.00020	3.16	0.67
8.4	0.560	0.08	2.10	16.0	0.99580	3.13	0.52
7.9	0.650	0.01	2.50	17.0	0.99630	3.34	0.74
11.9	0.695	0.53	3.40	7.0	0.99920	3.17	0.84
8.9	0.430	0.45	1.90	6.0	0.99480	3.35	0.70
7.8	0.430	0.32	2.80	29.0	0.99740	3.31	0.64
12.5	0.280	0.54	2.30	12.0	0.99970	3.11	1.36
10.9	0.390	0.47	1.80	6.0	0.99820	3.30	0.75
10.9	0.390	0.47	1.80	6.0	0.99820	3.30	0.75
11.9	0.570	0.50	2.60	6.0	1.00060	3.12	0.78
13.8	0.490	0.67	3.00	6.0	0.99860	3.02	0.93
9.6	0.560	0.31	2.80	15.0	0.99790	3.11	0.92
9.1	0.795	0.00	2.60	11.0	0.99940	3.35	0.83
7.7	0.665	0.00	2.40	8.0	0.99740	3.27	0.73
13.5	0.530	0.79	4.80	23.0	1.00180	3.18	0.77
6.1	0.210	0.40	1.40	40.5	0.99120	3.25	0.59
6.7	0.750	0.01	2.40	17.0	0.99550	3.55	0.61
11.5	0.410	0.52	3.00	29.0	1.00010	3.26	0.88
10.5	0.420	0.66	2.95	12.0	0.99700	3.24	0.75
11.9	0.430	0.66	3.10	10.0	1.00000	3.15	0.85
12.6	0.380	0.66	2.60	10.0	1.00100	3.17	0.68
8.2	0.700	0.23	2.00	14.0	0.99730	3.19	0.70
8.6	0.450	0.31	2.60	21.0	0.99820	3.37	0.91
11.9	0.580	0.66	2.50	6.0	0.99920	3.05	0.56
12.5	0.460	0.63	2.00	6.0	0.99880	2.99	0.87
12.8	0.615	0.66	5.80	7.0	1.00220	3.07	0.73
12.8	0.615	0.66	5.80	7.0	1.00220	3.07	0.73
10.4	0.575	0.61	2.60	11.0	1.00000	3.16	0.69
9.4	0.270	0.53	2.40	6.0	0.99620	3.20	1.13
7.9	0.240	0.40	1.60	11.0	0.99670	3.32	0.87
9.1	0.280	0.48	1.80	26.0	0.99670	3.32	1.04
11.5	0.450	0.50	3.00	19.0	1.00030	3.26	1.11
9.4	0.270	0.53	2.40	6.0	0.99620	3.20	1.13
11.4	0.625	0.66	6.20	6.0	0.99880	3.11	0.99
8.3	0.260	0.42	2.00	11.0	0.99740	3.21	0.80
7.7	0.510	0.28	2.10	23.0	0.99800	3.42	0.74
7.8	0.460	0.26	1.90	23.0	0.99810	3.43	0.74
5.6	0.850	0.05	1.40	12.0	0.99240	3.56	0.82
13.7	0.415	0.68	2.90	17.0	1.00140	3.06	0.80
9.5	0.370	0.52	2.00	6.0	0.99800	3.18	0.51
12.0	0.370	0.76	4.20	7.0	1.00040	3.22	0.60
6.6	0.735	0.02	7.90	68.0	0.99940	3.47	0.53
11.5	0.590	0.59	2.60	13.0	0.99880	3.18	0.65
8.7	0.765	0.22	2.30	9.0	0.99630	3.10	0.55
6.6	0.735	0.02	7.90	68.0	0.99940	3.47	0.53
12.2	0.480	0.54	2.60	19.0	1.00000	3.10	0.61
11.4	0.600	0.49	2.70	10.0	0.99940	3.15	0.63
7.7	0.690	0.05	2.70	15.0	0.99740	3.26	0.61
9.8	0.440	0.47	2.50	9.0	0.99810	3.24	0.65
12.0	0.390	0.66	3.00	12.0	0.99960	3.18	0.63
12.5	0.460	0.49	4.50	26.0	0.99810	3.05	0.57
9.0	0.430	0.34	2.50	26.0	0.99870	3.38	0.62
7.1	0.735	0.16	1.90	15.0	0.99660	3.27	0.64
9.9	0.400	0.53	6.70	6.0	0.99860	3.27	0.82
8.8	0.520	0.34	2.70	24.0	0.99820	3.26	0.61
8.6	0.725	0.24	6.60	31.0	1.00140	3.32	1.07
10.6	0.480	0.64	2.20	6.0	0.99700	3.26	0.66
7.0	0.580	0.12	1.90	34.0	0.99560	3.44	0.48
11.9	0.380	0.51	2.00	7.0	0.99960	3.24	0.76
6.8	0.770	0.00	1.80	34.0	0.99760	3.62	0.68
6.6	0.840	0.03	2.30	32.0	0.99520	3.52	0.56
7.7	0.960	0.20	2.00	15.0	0.99550	3.36	0.44
10.5	0.240	0.47	2.10	6.0	0.99780	3.15	0.90
6.6	0.840	0.03	2.30	32.0	0.99520	3.52	0.56
6.4	0.670	0.08	2.10	19.0	0.99490	3.49	0.49
9.5	0.780	0.22	1.90	6.0	0.99880	3.26	0.56
9.1	0.520	0.33	1.30	9.0	0.99780	3.24	0.60
12.8	0.840	0.63	2.40	13.0	0.99970	3.10	0.60
10.5	0.240	0.47	2.10	6.0	0.99780	3.15	0.90
7.8	0.550	0.35	2.20	21.0	0.99740	3.25	0.56
12.3	0.390	0.63	2.30	6.0	1.00040	3.16	0.49
10.4	0.410	0.55	3.20	22.0	0.99960	3.15	0.89
12.3	0.390	0.63	2.30	6.0	1.00040	3.16	0.49
8.0	0.670	0.30	2.00	38.0	0.99580	3.26	0.56
11.1	0.450	0.73	3.20	6.0	0.99860	3.17	0.66
7.0	0.620	0.18	1.50	7.0	0.99510	3.08	0.60
12.6	0.310	0.72	2.20	6.0	0.99870	2.88	0.82
15.6	0.685	0.76	3.70	6.0	1.00320	2.95	0.68
5.3	0.570	0.01	1.70	5.0	0.99340	3.57	0.84
12.5	0.380	0.60	2.60	31.0	0.99960	3.10	0.73
9.3	0.480	0.29	2.10	6.0	0.99680	3.22	0.72
8.6	0.530	0.22	2.00	7.0	0.99670	3.20	0.56
11.9	0.390	0.69	2.80	17.0	0.99940	3.10	0.61
11.9	0.390	0.69	2.80	17.0	0.99940	3.10	0.61
6.8	0.560	0.03	1.70	18.0	0.99680	3.44	0.63
10.4	0.330	0.63	2.80	5.0	0.99980	3.26	0.74
7.0	0.230	0.40	1.60	21.0	0.99520	3.50	0.63
11.3	0.620	0.67	5.20	6.0	0.99880	3.22	0.69
8.9	0.590	0.39	2.30	5.0	0.99860	3.37	0.58
9.2	0.630	0.21	2.70	29.0	0.99880	3.28	0.58
11.6	0.580	0.66	2.20	10.0	1.00080	3.25	0.57
9.2	0.430	0.52	2.30	14.0	0.99760	3.35	0.61
8.3	0.615	0.22	2.60	6.0	0.99820	3.26	0.61
11.5	0.315	0.54	2.10	5.0	0.99870	2.98	0.70
10.3	0.500	0.42	2.00	21.0	0.99820	3.16	0.72
8.8	0.460	0.45	2.60	7.0	0.99470	3.32	0.79
11.4	0.360	0.69	2.10	6.0	1.00000	3.17	0.62
8.7	0.820	0.02	1.20	36.0	0.99520	3.20	0.58
13.0	0.320	0.65	2.60	15.0	0.99960	3.05	0.61
9.6	0.540	0.42	2.40	25.0	0.99700	3.20	0.71
12.5	0.370	0.55	2.60	25.0	0.99950	3.15	0.82
9.6	0.680	0.24	2.20	5.0	0.99880	3.14	0.60
9.3	0.270	0.41	2.00	6.0	0.99800	3.28	0.70
10.4	0.240	0.49	1.80	6.0	0.99770	3.18	1.06
9.4	0.685	0.11	2.70	6.0	0.99840	3.19	0.70
10.6	0.280	0.39	15.50	6.0	1.00260	3.12	0.66
9.4	0.300	0.56	2.80	6.0	0.99640	3.15	0.92
10.6	0.360	0.60	2.20	7.0	0.99860	3.04	1.06
10.2	0.670	0.39	1.90	6.0	0.99760	3.17	0.47
10.2	0.645	0.36	1.80	5.0	0.99820	3.17	0.42
9.3	0.390	0.40	2.60	10.0	0.99840	3.34	0.75
9.2	0.410	0.50	2.50	12.0	0.99520	3.34	0.79
8.9	0.400	0.51	2.60	13.0	0.99500	3.32	0.90
8.7	0.690	0.31	3.00	23.0	1.00020	3.48	0.74
6.5	0.390	0.23	8.30	28.0	0.99520	3.44	0.55
10.7	0.350	0.53	2.60	5.0	0.99720	3.15	0.65
7.8	0.520	0.25	1.90	14.0	0.99840	3.43	0.65
7.2	0.340	0.32	2.50	43.0	0.99660	3.32	0.79
10.7	0.350	0.53	2.60	5.0	0.99720	3.15	0.65
8.7	0.690	0.31	3.00	23.0	1.00020	3.48	0.74
7.8	0.520	0.25	1.90	14.0	0.99840	3.43	0.65
10.4	0.440	0.73	6.55	38.0	0.99900	3.17	0.85
10.4	0.440	0.73	6.55	38.0	0.99900	3.17	0.85
10.5	0.240	0.42	1.80	6.0	0.99760	3.21	1.05
10.2	0.490	0.63	2.90	10.0	0.99680	3.16	0.78
10.4	0.240	0.46	1.80	6.0	0.99760	3.25	1.02
11.2	0.670	0.55	2.30	6.0	1.00000	3.17	0.71
13.3	0.290	0.75	2.80	23.0	0.99860	3.04	0.68
10.0	0.590	0.31	2.20	26.0	0.99940	3.18	0.63
10.7	0.400	0.48	2.10	15.0	0.99800	3.03	0.81
10.5	0.510	0.64	2.40	6.0	0.99730	3.09	0.66
10.5	0.510	0.64	2.40	6.0	0.99730	3.09	0.66
8.5	0.655	0.49	6.10	34.0	1.00100	3.31	1.14
12.5	0.600	0.49	4.30	5.0	1.00100	3.25	0.74
10.4	0.610	0.49	2.10	5.0	0.99940	3.16	0.63
9.8	0.250	0.49	2.70	15.0	0.99820	3.42	0.90
9.3	0.400	0.49	2.50	38.0	0.99780	3.22	0.55
9.2	0.430	0.49	2.40	23.0	0.99760	3.23	0.64
7.0	0.380	0.49	2.50	33.0	0.99620	3.39	0.77
9.9	0.630	0.24	2.40	6.0	0.99740	3.09	0.57
9.1	0.220	0.24	2.10	1.0	0.99900	3.41	0.87
11.9	0.380	0.49	2.70	12.0	1.00040	3.16	0.61
11.9	0.380	0.49	2.70	12.0	1.00040	3.16	0.61
10.3	0.270	0.24	2.10	15.0	0.99560	3.22	0.66
10.0	0.480	0.24	2.70	13.0	1.00000	3.28	0.56
9.1	0.220	0.24	2.10	1.0	0.99900	3.41	0.87
9.9	0.630	0.24	2.40	6.0	0.99740	3.09	0.57
8.1	0.825	0.24	2.10	5.0	0.99720	3.37	0.77
12.9	0.350	0.49	5.80	5.0	1.00140	3.20	0.66
11.2	0.500	0.74	5.15	5.0	0.99960	3.22	0.62
9.2	0.590	0.24	3.30	20.0	0.99880	3.26	0.67
9.5	0.460	0.49	6.30	5.0	0.99880	3.21	0.73
9.3	0.715	0.24	2.10	5.0	0.99660	3.12	0.59
11.2	0.660	0.24	2.50	16.0	0.99930	3.06	0.72
14.3	0.310	0.74	1.80	6.0	1.00080	2.86	0.79
9.1	0.470	0.49	2.60	38.0	0.99820	3.08	0.59
7.5	0.550	0.24	2.00	10.0	0.99830	3.45	0.78
10.6	0.310	0.49	2.50	6.0	0.99870	3.26	0.86
12.4	0.350	0.49	2.60	27.0	0.99940	3.12	0.75
6.8	0.510	0.01	2.10	9.0	0.99580	3.33	0.56
9.4	0.430	0.24	2.80	14.0	0.99800	3.19	0.73
9.5	0.460	0.24	2.70	14.0	0.99800	3.12	0.74
5.0	1.040	0.24	1.60	32.0	0.99340	3.74	0.62
15.5	0.645	0.49	4.20	10.0	1.00315	2.92	0.74
10.9	0.530	0.49	4.60	10.0	1.00020	3.07	0.56
15.6	0.645	0.49	4.20	10.0	1.00315	2.92	0.74
13.0	0.470	0.49	4.30	6.0	1.00210	3.30	0.68
12.7	0.600	0.49	2.80	5.0	0.99940	3.14	0.57
9.0	0.540	0.49	2.90	41.0	0.99820	3.08	0.61
7.6	0.290	0.49	2.70	25.0	0.99710	3.31	0.61
13.0	0.470	0.49	4.30	6.0	1.00210	3.30	0.68
12.7	0.600	0.49	2.80	5.0	0.99940	3.14	0.57
8.7	0.700	0.24	2.50	5.0	0.99910	3.32	0.60
9.8	0.500	0.49	2.60	5.0	0.99900	3.31	0.79
6.2	0.360	0.24	2.20	19.0	0.99460	3.57	0.57
11.5	0.350	0.49	3.30	10.0	1.00030	3.32	0.91
10.2	0.240	0.49	2.40	10.0	0.99780	3.14	0.61
9.9	0.500	0.24	2.30	6.0	0.99780	3.34	0.52
8.8	0.440	0.49	2.80	18.0	0.99820	3.30	0.60
8.8	0.470	0.49	2.90	17.0	0.99820	3.29	0.60
10.6	0.310	0.49	2.20	18.0	0.99760	3.14	0.51
12.3	0.500	0.49	2.20	5.0	1.00020	3.19	0.44
12.3	0.500	0.49	2.20	5.0	1.00020	3.19	0.44
12.0	0.280	0.49	1.90	10.0	0.99760	2.98	0.66
7.3	0.730	0.24	1.90	18.0	0.99670	3.26	0.59
5.0	0.420	0.24	2.00	19.0	0.99170	3.72	0.74
9.0	0.450	0.49	2.60	21.0	0.99870	3.35	0.57
6.6	0.390	0.49	1.70	23.0	0.99220	3.12	0.50
9.0	0.450	0.49	2.60	21.0	0.99870	3.35	0.57
9.9	0.490	0.58	3.50	9.0	1.00040	3.29	0.58
8.9	0.595	0.41	7.90	30.0	0.99980	3.27	0.57
12.4	0.400	0.51	2.00	6.0	0.99940	3.04	0.60
8.5	0.585	0.18	2.10	5.0	0.99670	3.20	0.48
7.7	0.835	0.00	2.60	6.0	0.99750	3.30	0.52
8.3	0.580	0.13	2.90	14.0	0.99840	3.17	0.62
8.8	0.480	0.41	3.30	26.0	0.99820	3.31	0.53
10.1	0.650	0.37	5.10	11.0	1.00260	3.32	0.64
6.3	0.360	0.19	3.20	15.0	0.99560	3.56	0.52
8.8	0.240	0.54	2.50	25.0	0.99830	3.39	0.54
13.2	0.380	0.55	2.70	5.0	1.00060	2.98	0.54
7.5	0.640	0.00	2.40	18.0	0.99650	3.32	0.60
9.6	0.600	0.50	2.30	28.0	0.99970	3.50	0.57
11.5	0.310	0.51	2.20	14.0	0.99820	3.03	0.93
11.3	0.370	0.41	2.30	6.0	0.99880	3.09	0.80
8.3	0.540	0.24	3.40	16.0	0.99760	3.27	0.61
8.2	0.560	0.23	3.40	14.0	0.99760	3.28	0.62
10.0	0.580	0.22	1.90	9.0	0.99740	3.13	0.55
6.8	0.690	0.00	5.60	21.0	0.99970	3.46	0.72
8.8	0.600	0.29	2.20	5.0	0.99880	3.36	0.49
8.8	0.600	0.29	2.20	5.0	0.99880	3.36	0.49
8.7	0.540	0.26	2.50	7.0	0.99760	3.27	0.60
7.6	0.685	0.23	2.30	20.0	0.99640	3.21	0.61
8.7	0.540	0.26	2.50	7.0	0.99760	3.27	0.60
10.4	0.280	0.54	2.70	5.0	0.99880	3.25	0.63
7.6	0.410	0.14	3.00	21.0	0.99640	3.32	0.57
10.1	0.935	0.22	3.40	11.0	1.00100	3.43	0.64
7.9	0.350	0.21	1.90	46.0	0.99640	3.27	0.58
8.7	0.840	0.00	1.40	24.0	0.99540	3.27	0.55
9.6	0.880	0.28	2.40	30.0	0.99790	3.24	0.53
9.5	0.885	0.27	2.30	31.0	0.99780	3.24	0.53
8.9	0.290	0.35	1.90	25.0	0.99700	3.18	1.36
9.9	0.540	0.45	2.30	16.0	0.99910	3.39	0.62
9.9	0.540	0.45	2.30	16.0	0.99910	3.39	0.62
9.9	0.540	0.45	2.30	16.0	0.99910	3.39	0.62
8.3	0.845	0.01	2.20	5.0	0.99670	3.32	0.58
8.7	0.480	0.30	2.80	10.0	0.99640	3.33	0.67
6.7	0.420	0.27	8.60	24.0	0.99480	3.16	0.57
10.7	0.430	0.39	2.20	8.0	0.99860	2.89	0.50
15.9	0.360	0.65	7.50	22.0	0.99760	2.98	0.84
9.4	0.330	0.59	2.80	9.0	0.99760	3.12	0.54
8.6	0.470	0.47	2.40	7.0	0.99790	3.08	0.46
9.7	0.550	0.17	2.90	20.0	1.00040	3.14	0.61
10.7	0.430	0.39	2.20	8.0	0.99860	2.89	0.50
12.0	0.500	0.59	1.40	23.0	0.99800	2.92	0.68
7.2	0.520	0.07	1.40	5.0	0.99730	3.32	0.81
7.2	0.520	0.07	1.40	5.0	0.99730	3.32	0.81
7.5	0.420	0.31	1.60	15.0	0.99780	3.31	0.64
7.2	0.570	0.06	1.60	9.0	0.99720	3.36	0.70
9.4	0.590	0.14	2.00	25.0	0.99810	3.14	0.56
8.3	0.490	0.36	1.80	6.0	0.99800	3.18	0.60
11.3	0.340	0.45	2.00	6.0	0.99880	2.94	0.66
11.3	0.340	0.45	2.00	6.0	0.99880	2.94	0.66
8.2	0.730	0.21	1.70	5.0	0.99680	3.20	0.52
8.2	0.730	0.21	1.70	5.0	0.99680	3.20	0.52
10.8	0.400	0.41	2.20	7.0	0.99840	3.08	0.67
8.6	0.800	0.11	2.30	12.0	0.99790	3.40	0.48
8.3	0.780	0.10	2.60	45.0	0.99830	3.48	0.53
10.8	0.260	0.45	3.30	20.0	0.99720	3.13	0.54
8.0	0.450	0.23	2.20	16.0	0.99620	3.21	0.49
8.5	0.460	0.31	2.25	32.0	0.99800	3.33	0.54
8.1	0.780	0.23	2.60	5.0	0.99700	3.37	0.56
9.8	0.980	0.32	2.30	35.0	0.99800	3.25	0.48
8.1	0.780	0.23	2.60	5.0	0.99700	3.37	0.56
7.7	0.660	0.04	1.60	4.0	0.99620	3.40	0.47
8.1	0.380	0.48	1.80	5.0	0.99760	3.30	1.05
9.2	0.920	0.24	2.60	12.0	0.99980	3.48	0.54
8.6	0.490	0.51	2.00	16.0	0.99790	3.03	1.17
9.0	0.480	0.32	2.80	21.0	0.99840	3.32	0.62
9.0	0.470	0.31	2.70	24.0	0.99840	3.31	0.61
5.1	0.470	0.02	1.30	18.0	0.99210	3.90	0.62
7.0	0.650	0.02	2.10	8.0	0.99720	3.47	0.67
9.4	0.615	0.28	3.20	18.0	1.00010	3.31	0.53
11.8	0.380	0.55	2.10	5.0	0.99860	3.11	0.62
10.6	1.020	0.43	2.90	26.0	0.99840	3.08	0.57
7.0	0.650	0.02	2.10	8.0	0.99720	3.47	0.67
7.0	0.640	0.02	2.10	9.0	0.99700	3.47	0.67
7.5	0.380	0.48	2.60	22.0	0.99720	3.32	0.70
9.1	0.765	0.04	1.60	4.0	0.99800	3.29	0.54
8.4	1.035	0.15	6.00	11.0	0.99900	3.37	0.49
7.0	0.780	0.08	2.00	10.0	0.99560	3.40	0.47
7.4	0.490	0.19	3.00	16.0	0.99660	3.37	0.51
7.8	0.545	0.12	2.50	11.0	0.99600	3.34	0.61
10.6	1.025	0.43	2.80	21.0	0.99850	3.06	0.57
8.9	0.565	0.34	3.00	16.0	0.99980	3.38	0.61
9.9	0.740	0.28	2.60	21.0	0.99800	3.28	0.51
7.6	0.460	0.11	2.60	12.0	0.99680	3.21	0.57
8.4	0.560	0.04	2.00	10.0	0.99760	3.22	0.44
7.1	0.660	0.00	3.90	17.0	0.99760	3.46	0.54
8.4	0.560	0.04	2.00	10.0	0.99760	3.22	0.44
8.9	0.480	0.24	2.85	35.0	0.99820	3.10	0.53
7.1	0.310	0.30	2.20	36.0	0.99650	2.94	1.62
9.0	0.660	0.17	3.00	5.0	0.99760	3.29	0.55
8.1	0.720	0.09	2.80	18.0	0.99940	3.43	0.72
6.4	0.570	0.02	1.80	4.0	0.99700	3.46	0.68
6.4	0.570	0.02	1.80	4.0	0.99700	3.46	0.68
6.4	0.865	0.03	3.20	27.0	0.99500	3.61	0.49
9.5	0.550	0.66	2.30	12.0	0.99820	3.17	0.67
8.9	0.875	0.13	3.45	4.0	0.99940	3.44	0.52
7.3	0.835	0.03	2.10	10.0	0.99660	3.39	0.47
7.0	0.450	0.34	2.70	16.0	0.99800	3.55	0.60
7.7	0.560	0.20	2.00	9.0	0.99870	3.48	0.62
7.7	0.965	0.10	2.10	11.0	0.99630	3.26	0.50
8.2	0.590	0.00	2.50	19.0	1.00020	3.50	0.65
9.0	0.690	0.00	2.40	19.0	0.99900	3.35	0.60
8.3	0.760	0.29	4.20	12.0	0.99650	3.45	0.68
9.2	0.530	0.24	2.60	28.0	0.99788	3.21	0.57
11.1	0.390	0.54	2.70	21.0	1.00010	3.13	0.51
7.3	0.510	0.18	2.10	12.0	0.99768	3.52	0.73
8.2	0.340	0.38	2.50	12.0	0.99780	3.30	0.47
7.2	0.500	0.18	2.10	12.0	0.99761	3.52	0.72
7.3	0.510	0.18	2.10	12.0	0.99768	3.52	0.73
8.3	0.650	0.10	2.90	17.0	0.99803	3.29	0.55
7.6	0.540	0.13	2.50	24.0	0.99785	3.39	0.61
8.3	0.650	0.10	2.90	17.0	0.99803	3.29	0.55
7.8	0.480	0.68	1.70	14.0	0.99656	3.09	1.06
7.8	0.910	0.07	1.90	22.0	0.99525	3.51	0.43
6.3	0.980	0.01	2.00	15.0	0.99488	3.60	0.46
8.1	0.870	0.00	2.20	10.0	0.99656	3.25	0.50
8.1	0.870	0.00	2.20	10.0	0.99656	3.25	0.50
8.8	0.420	0.21	2.50	33.0	0.99823	3.19	0.52
9.0	0.580	0.25	2.80	9.0	0.99779	3.23	0.57
9.3	0.655	0.26	2.00	5.0	0.99738	3.25	0.42
8.8	0.700	0.00	1.70	8.0	0.99701	3.31	0.53
9.1	0.680	0.11	2.80	11.0	0.99888	3.31	0.55
9.2	0.670	0.10	3.00	12.0	0.99888	3.31	0.54
8.8	0.590	0.18	2.90	12.0	0.99738	3.14	0.54
7.1	0.590	0.02	2.30	24.0	0.99744	3.55	0.53
7.9	0.720	0.01	1.90	7.0	0.99668	3.39	0.54
7.1	0.590	0.02	2.30	24.0	0.99744	3.55	0.53
9.4	0.685	0.26	2.40	23.0	0.99780	3.28	0.55
9.5	0.570	0.27	2.30	23.0	0.99782	3.27	0.55
7.9	0.400	0.29	1.80	1.0	0.99730	3.30	0.92
7.2	1.000	0.00	3.00	7.0	0.99586	3.43	0.46
6.9	0.635	0.17	2.40	6.0	0.99610	3.40	0.59
8.3	0.430	0.30	3.40	7.0	0.99788	3.36	0.61
7.1	0.520	0.03	2.60	21.0	0.99745	3.50	0.60
7.0	0.570	0.00	2.00	12.0	0.99676	3.31	0.60
6.5	0.460	0.14	2.40	9.0	0.99732	3.66	0.65
7.1	0.590	0.01	2.50	20.0	0.99746	3.55	0.59
9.9	0.350	0.41	2.30	11.0	0.99820	3.21	0.50
10.0	0.560	0.24	2.20	19.0	0.99910	3.18	0.56
10.0	0.560	0.24	2.20	19.0	0.99910	3.18	0.56
8.6	0.630	0.17	2.90	21.0	0.99800	3.09	0.52
7.4	0.370	0.43	2.60	18.0	0.99708	3.33	0.68
8.8	0.640	0.17	2.90	25.0	0.99818	3.23	0.54
7.1	0.610	0.02	2.50	17.0	0.99745	3.48	0.60
7.7	0.600	0.00	2.60	7.0	0.99639	3.38	0.56
10.1	0.270	0.54	2.30	7.0	0.99531	3.17	0.53
10.8	0.890	0.30	2.60	7.0	0.99786	2.99	1.18
8.7	0.460	0.31	2.50	24.0	0.99746	3.10	0.74
9.3	0.370	0.44	1.60	21.0	0.99526	3.24	0.81
9.4	0.500	0.34	3.60	5.0	0.99870	3.29	0.52
8.6	0.550	0.09	3.30	8.0	0.99735	3.23	0.44
5.1	0.585	0.00	1.70	14.0	0.99264	3.56	0.94
7.7	0.560	0.08	2.50	14.0	0.99710	3.24	0.66
8.4	0.520	0.22	2.70	4.0	0.99682	3.26	0.57
8.4	0.250	0.39	2.00	4.0	0.99386	3.27	0.71
7.4	0.530	0.12	1.90	4.0	0.99702	3.26	0.86
7.6	0.480	0.31	2.80	4.0	0.99693	3.22	0.55
7.3	0.490	0.10	2.60	4.0	0.99562	3.30	0.47
12.9	0.500	0.55	2.80	7.0	1.00012	3.09	0.68
6.9	0.390	0.24	2.10	4.0	0.99462	3.44	0.58
12.6	0.410	0.54	2.80	19.0	0.99939	3.21	0.76
9.1	0.660	0.15	3.20	9.0	0.99976	3.28	0.54
7.0	0.685	0.00	1.90	9.0	0.99606	3.34	0.60
4.9	0.420	0.00	2.10	16.0	0.99154	3.71	0.74
6.7	0.540	0.13	2.00	15.0	0.99730	3.61	0.64
7.1	0.480	0.28	2.80	6.0	0.99682	3.24	0.53
7.5	0.270	0.34	2.30	4.0	0.99510	3.40	0.64
7.1	0.460	0.14	2.80	15.0	0.99624	3.36	0.49
7.5	0.685	0.07	2.50	5.0	0.99632	3.38	0.55
5.9	0.610	0.08	2.10	16.0	0.99376	3.56	0.77
11.6	0.470	0.44	1.60	36.0	0.99836	3.38	0.86
6.7	0.280	0.28	2.40	36.0	0.99064	3.26	0.39
6.7	0.280	0.28	2.40	36.0	0.99064	3.26	0.39
10.1	0.310	0.35	1.60	9.0	0.99672	3.24	0.83
6.6	0.660	0.00	3.00	21.0	0.99629	3.45	0.63
10.6	0.500	0.45	2.60	34.0	0.99708	3.23	0.72
7.1	0.685	0.35	2.00	9.0	0.99630	3.28	0.62
6.4	0.640	0.21	1.80	14.0	0.99689	3.59	0.66
7.4	0.680	0.16	1.80	12.0	0.99770	3.50	0.70
6.4	0.640	0.21	1.80	14.0	0.99689	3.59	0.66
9.3	0.430	0.44	1.90	9.0	0.99708	3.28	0.55
9.3	0.430	0.44	1.90	9.0	0.99708	3.28	0.55
9.3	0.360	0.39	1.50	41.0	0.99652	3.47	0.73
9.3	0.360	0.39	1.50	41.0	0.99652	3.47	0.73
9.3	0.360	0.39	1.50	41.0	0.99652	3.47	0.73
8.2	0.260	0.34	2.50	16.0	0.99594	3.40	0.78
11.7	0.280	0.47	1.70	17.0	0.99686	3.15	0.67
7.2	0.620	0.06	2.70	15.0	0.99746	3.51	0.54
7.5	0.420	0.32	2.70	7.0	0.99628	3.24	0.44
7.2	0.620	0.06	2.50	17.0	0.99746	3.51	0.53
7.2	0.635	0.07	2.60	16.0	0.99748	3.51	0.54
6.9	0.560	0.03	1.50	36.0	0.99522	3.53	0.57
7.3	0.350	0.24	2.00	28.0	0.99576	3.43	0.54
8.8	0.310	0.40	2.80	7.0	0.99614	3.31	0.79
7.7	0.715	0.01	2.10	31.0	0.99371	3.41	0.57
7.6	0.715	0.00	2.10	30.0	0.99533	3.48	0.65
8.4	0.310	0.29	3.10	14.0	0.99536	3.22	0.78
8.8	0.610	0.19	4.00	30.0	0.99787	3.22	0.50
8.9	0.750	0.14	2.50	9.0	0.99824	3.34	0.64
9.0	0.800	0.12	2.40	8.0	0.99836	3.33	0.65
6.8	0.570	0.00	2.50	32.0	0.99491	3.43	0.56
10.7	0.900	0.34	6.60	23.0	1.00289	3.22	0.68
7.2	0.660	0.03	2.30	16.0	0.99743	3.53	0.57
10.1	0.450	0.23	1.90	10.0	0.99774	3.22	0.65
7.2	0.660	0.03	2.30	16.0	0.99743	3.53	0.57
7.2	0.630	0.03	2.20	17.0	0.99745	3.53	0.58
7.1	0.590	0.01	2.30	27.0	0.99550	3.42	0.58
8.3	0.310	0.39	2.40	17.0	0.99444	3.31	0.77
7.1	0.590	0.01	2.30	27.0	0.99550	3.42	0.58
8.3	0.310	0.39	2.40	17.0	0.99444	3.31	0.77
8.9	0.310	0.36	2.60	10.0	0.99562	3.40	0.69
7.4	0.635	0.10	2.40	16.0	0.99736	3.58	0.69
7.4	0.635	0.10	2.40	16.0	0.99736	3.58	0.69
6.8	0.590	0.06	6.00	11.0	0.99620	3.41	0.59
7.2	0.540	0.27	2.60	12.0	0.99640	3.39	0.71
6.1	0.560	0.00	2.20	6.0	0.99480	3.59	0.54
7.4	0.520	0.13	2.40	34.0	0.99528	3.43	0.59
9.3	0.380	0.48	3.80	3.0	0.99577	3.23	0.57
9.1	0.280	0.46	9.00	3.0	0.99901	3.18	0.60
10.0	0.460	0.44	2.90	4.0	0.99674	3.33	0.62
8.6	0.315	0.40	2.20	3.0	0.99512	3.27	0.67
5.3	0.715	0.19	1.50	7.0	0.99395	3.62	0.61
6.8	0.410	0.31	8.80	26.0	0.99824	3.38	0.64
8.4	0.360	0.32	2.20	32.0	0.99640	3.30	0.72
8.4	0.620	0.12	1.80	38.0	0.99504	3.38	0.89
9.6	0.410	0.37	2.30	10.0	0.99786	3.24	0.56
8.4	0.620	0.12	1.80	38.0	0.99504	3.38	0.89
8.6	0.470	0.27	2.30	14.0	0.99516	3.18	0.80
8.6	0.220	0.36	1.90	53.0	0.99604	3.47	0.87
9.4	0.240	0.33	2.30	52.0	0.99786	3.47	0.90
8.4	0.670	0.19	2.20	11.0	0.99736	3.20	0.59
8.6	0.470	0.27	2.30	14.0	0.99516	3.18	0.80
8.7	0.330	0.38	3.30	10.0	0.99468	3.30	0.73
7.4	0.610	0.01	2.00	13.0	0.99748	3.48	0.65
7.6	0.400	0.29	1.90	29.0	0.99710	3.45	0.59
6.6	0.610	0.01	1.90	8.0	0.99746	3.69	0.73
8.8	0.300	0.38	2.30	19.0	0.99543	3.39	0.72
6.2	0.460	0.17	1.60	7.0	0.99425	3.61	0.54
9.9	0.270	0.49	5.00	9.0	0.99484	3.19	0.52
10.1	0.430	0.40	2.60	13.0	0.99834	3.22	0.64
8.3	0.300	0.49	3.80	11.0	0.99498	3.27	0.64
10.2	0.440	0.58	4.10	11.0	0.99745	3.29	0.99
8.3	0.280	0.48	2.10	6.0	0.99408	3.26	0.62
8.9	0.120	0.45	1.80	10.0	0.99552	3.41	0.76
8.9	0.120	0.45	1.80	10.0	0.99552	3.41	0.76
8.3	0.280	0.48	2.10	6.0	0.99408	3.26	0.62
8.2	0.310	0.40	2.20	6.0	0.99536	3.31	0.68
10.2	0.340	0.48	2.10	5.0	0.99458	3.20	0.69
8.5	0.210	0.52	1.90	9.0	0.99648	3.36	0.67
9.0	0.360	0.52	2.10	5.0	0.99568	3.31	0.62
6.4	0.570	0.12	2.30	25.0	0.99519	3.47	0.71
8.5	0.470	0.27	1.90	18.0	0.99518	3.16	0.85
7.1	0.560	0.14	1.60	7.0	0.99592	3.27	0.62
6.6	0.570	0.02	2.10	6.0	0.99654	3.38	0.69
8.5	0.470	0.27	1.90	18.0	0.99518	3.16	0.85
8.5	0.660	0.20	2.10	23.0	0.99733	3.13	0.48
9.0	0.400	0.43	2.40	29.0	0.99430	3.20	0.60
10.4	0.260	0.48	1.90	6.0	0.99724	3.33	0.87
8.8	0.330	0.41	5.90	7.0	0.99658	3.30	0.62
7.2	0.410	0.30	2.10	35.0	0.99700	3.44	0.52
8.4	0.590	0.29	2.60	31.0	0.99801	3.15	0.50
7.0	0.400	0.32	3.60	9.0	0.99416	3.28	0.49
9.1	0.500	0.30	1.90	8.0	0.99774	3.32	0.71
9.5	0.860	0.26	1.90	13.0	0.99712	3.25	0.62
7.3	0.520	0.32	2.10	51.0	0.99418	3.34	0.82
9.1	0.500	0.30	1.90	8.0	0.99774	3.32	0.71
7.4	0.580	0.00	2.00	7.0	0.99562	3.45	0.58
7.1	0.360	0.30	1.60	35.0	0.99693	3.44	0.50
7.7	0.390	0.12	1.70	19.0	0.99596	3.16	0.49
9.7	0.295	0.40	1.50	14.0	0.99556	3.14	0.51
7.7	0.390	0.12	1.70	19.0	0.99596	3.16	0.49
7.1	0.340	0.28	2.00	31.0	0.99694	3.45	0.48
7.1	0.340	0.28	2.00	31.0	0.99694	3.45	0.48
7.7	0.600	0.06	2.00	19.0	0.99697	3.39	0.62
8.9	0.840	0.34	1.40	4.0	0.99554	3.12	0.48
6.4	0.690	0.00	1.65	7.0	0.99162	3.47	0.53
7.5	0.430	0.30	2.20	6.0	0.99495	3.44	0.72
8.2	0.430	0.29	1.60	27.0	0.99603	3.25	0.54
6.8	0.360	0.32	1.80	4.0	0.99280	3.36	0.55
9.1	0.290	0.33	2.05	13.0	0.99516	3.26	0.84
9.1	0.300	0.34	2.00	12.0	0.99516	3.26	0.84
8.9	0.350	0.40	3.60	12.0	0.99549	3.23	0.70
8.9	0.280	0.45	1.70	7.0	0.99354	3.25	0.55
8.9	0.320	0.31	2.00	12.0	0.99570	3.17	0.55
7.7	1.005	0.15	2.10	11.0	0.99604	3.23	0.48
7.5	0.710	0.00	1.60	22.0	0.99635	3.38	0.58
8.0	0.580	0.16	2.00	3.0	0.99454	3.22	0.58
8.9	0.380	0.40	2.20	12.0	0.99486	3.27	0.75
8.0	0.180	0.37	0.90	36.0	0.99007	2.89	0.44
7.0	0.500	0.14	1.80	10.0	0.99636	3.53	0.61
11.3	0.360	0.66	2.40	3.0	0.99642	3.20	0.53
11.3	0.360	0.66	2.40	3.0	0.99642	3.20	0.53
7.0	0.510	0.09	2.10	4.0	0.99584	3.35	0.54
8.2	0.320	0.42	2.30	3.0	0.99506	3.27	0.55
7.7	0.580	0.01	1.80	12.0	0.99568	3.32	0.56
8.6	0.830	0.00	2.80	17.0	0.99822	3.33	0.60
7.9	0.310	0.32	1.90	14.0	0.99364	3.41	0.56
6.4	0.795	0.00	2.20	28.0	0.99378	3.49	0.52
7.7	0.580	0.01	1.80	12.0	0.99568	3.32	0.56
8.1	0.820	0.00	4.10	5.0	0.99854	3.36	0.53
8.9	0.745	0.18	2.50	15.0	0.99739	3.20	0.47
10.1	0.370	0.34	2.40	5.0	0.99683	3.17	0.65
7.6	0.310	0.34	2.50	26.0	0.99356	3.22	0.59
8.7	0.410	0.41	6.20	25.0	0.99530	3.24	0.77
8.9	0.500	0.21	2.20	21.0	0.99692	3.33	0.83
6.9	0.490	0.19	1.70	13.0	0.99547	3.38	0.64
6.4	0.390	0.33	3.30	12.0	0.99294	3.36	0.62
6.9	0.440	0.00	1.40	32.0	0.99438	3.32	0.58
7.6	0.780	0.00	1.70	33.0	0.99612	3.31	0.62
7.1	0.430	0.17	1.80	27.0	0.99634	3.49	0.64
9.3	0.490	0.36	1.70	3.0	0.99702	3.27	0.78
9.3	0.500	0.36	1.80	6.0	0.99704	3.27	0.77
8.5	0.460	0.59	1.40	16.0	0.99702	3.03	1.34
5.6	0.605	0.05	2.40	19.0	0.99258	3.56	0.55
8.3	0.330	0.42	2.30	9.0	0.99426	3.38	0.77
8.2	0.640	0.27	2.00	5.0	0.99747	3.13	0.62
8.9	0.480	0.53	4.00	3.0	0.99586	3.21	0.59
7.6	0.420	0.25	3.90	28.0	0.99784	3.15	0.57
9.9	0.530	0.57	2.40	30.0	0.99710	3.19	0.76
8.9	0.480	0.53	4.00	3.0	0.99586	3.21	0.59
11.6	0.230	0.57	1.80	3.0	0.99810	3.14	0.70
9.1	0.400	0.50	1.80	7.0	0.99462	3.21	0.69
8.0	0.380	0.44	1.90	6.0	0.99560	3.30	0.64
10.2	0.290	0.65	2.40	6.0	0.99565	3.22	0.63
8.2	0.740	0.09	2.00	5.0	0.99418	3.28	0.57
7.7	0.610	0.18	2.40	6.0	0.99630	3.29	0.60
6.6	0.520	0.08	2.40	13.0	0.99358	3.40	0.72
11.1	0.310	0.53	2.20	3.0	0.99572	3.02	0.83
8.0	0.620	0.35	2.80	28.0	0.99700	3.31	0.62
9.3	0.330	0.45	1.50	19.0	0.99498	3.18	0.89
7.5	0.770	0.20	8.10	30.0	0.99892	3.20	0.58
8.0	0.620	0.33	2.70	16.0	0.99720	3.31	0.58
9.9	0.320	0.56	2.00	3.0	0.99534	3.15	0.73
8.6	0.370	0.65	6.40	3.0	0.99817	3.27	0.58
7.9	0.300	0.68	8.30	37.5	0.99316	3.01	0.51
7.9	0.300	0.68	8.30	37.5	0.99316	3.01	0.51
7.2	0.380	0.30	1.80	31.0	0.99685	3.42	0.59
8.7	0.420	0.45	2.40	32.0	0.99617	3.33	0.77
6.8	0.480	0.08	1.80	40.0	0.99529	3.12	0.49
8.5	0.340	0.40	4.70	3.0	0.99738	3.38	0.66
7.9	0.190	0.42	1.60	18.0	0.99400	3.29	0.69
11.6	0.410	0.54	1.50	22.0	0.99735	3.02	0.76
11.6	0.410	0.54	1.50	22.0	0.99735	3.02	0.76
10.0	0.260	0.54	1.90	42.0	0.99451	2.98	0.63
7.9	0.340	0.42	2.00	8.0	0.99546	3.35	0.60
7.0	0.540	0.09	2.00	10.0	0.99479	3.43	0.59
9.2	0.310	0.36	2.20	11.0	0.99615	3.33	0.86
6.6	0.725	0.09	5.50	9.0	0.99655	3.35	0.49
6.6	0.725	0.09	5.50	9.0	0.99655	3.35	0.49
8.6	0.520	0.38	1.50	5.0	0.99666	3.20	0.52
8.4	0.340	0.42	2.10	23.0	0.99392	3.11	0.78
7.4	0.490	0.27	2.10	14.0	0.99388	3.35	0.63
7.4	0.490	0.27	2.10	14.0	0.99388	3.35	0.63
8.0	0.480	0.34	2.20	16.0	0.99360	3.28	0.66
6.3	0.570	0.28	2.10	13.0	0.99374	3.41	0.60
9.1	0.300	0.41	2.00	10.0	0.99523	3.27	0.85
8.1	0.780	0.10	3.30	4.0	0.99855	3.36	0.49
10.8	0.470	0.43	2.10	27.0	0.99820	3.17	0.76
8.3	0.530	0.00	1.40	6.0	0.99593	3.25	0.64
5.4	0.420	0.27	2.00	23.0	0.99471	3.78	0.64
7.9	0.330	0.41	1.50	6.0	0.99396	3.29	0.71
5.0	0.400	0.50	4.30	29.0	0.99020	3.49	0.66
7.0	0.690	0.07	2.50	15.0	0.99572	3.38	0.60
7.0	0.690	0.07	2.50	15.0	0.99572	3.38	0.60
7.0	0.690	0.07	2.50	15.0	0.99572	3.38	0.60
7.1	0.390	0.12	2.10	14.0	0.99252	3.30	0.53
5.6	0.660	0.00	2.50	7.0	0.99256	3.52	0.58
7.9	0.540	0.34	2.50	8.0	0.99235	3.20	0.72
6.3	0.470	0.00	1.40	27.0	0.99220	3.45	0.48
8.8	0.240	0.35	1.70	13.0	0.99394	3.14	0.59
6.3	0.760	0.00	2.90	26.0	0.99379	3.51	0.60
10.0	0.430	0.33	2.70	28.0	0.99840	3.22	0.68
9.1	0.600	0.00	1.90	5.0	0.99770	3.18	0.63
7.4	0.360	0.34	1.80	18.0	0.99330	3.38	0.88
7.2	0.480	0.07	5.50	10.0	0.99684	3.37	0.68
8.5	0.280	0.35	1.70	6.0	0.99524	3.30	0.74
8.0	0.250	0.43	1.70	22.0	0.99460	3.38	0.60
10.4	0.520	0.45	2.00	6.0	0.99774	3.22	0.76
7.5	0.410	0.15	3.70	29.0	0.99786	3.14	0.58
8.2	0.510	0.24	2.00	16.0	0.99764	3.34	0.64
7.3	0.400	0.30	1.70	33.0	0.99690	3.41	0.65
8.2	0.380	0.32	2.50	24.0	0.99624	3.27	0.85
6.9	0.450	0.11	2.40	6.0	0.99354	3.30	0.65
7.0	0.220	0.30	1.80	16.0	0.99672	3.61	0.82
7.3	0.320	0.23	2.30	35.0	0.99588	3.43	0.62
8.2	0.200	0.43	2.50	31.0	0.99672	3.53	0.81
7.8	0.500	0.12	1.80	6.0	0.99600	3.28	0.87
10.0	0.410	0.45	6.20	6.0	0.99702	3.21	0.49
7.8	0.390	0.42	2.00	9.0	0.99526	3.39	0.66
10.0	0.350	0.47	2.00	6.0	0.99585	3.23	0.52
6.1	0.580	0.23	2.50	16.0	0.99352	3.46	0.65
8.3	0.600	0.25	2.20	9.0	0.99616	3.15	0.53
9.6	0.420	0.35	2.10	17.0	0.99622	3.23	0.66
8.3	0.600	0.25	2.20	9.0	0.99616	3.15	0.53
8.5	0.180	0.51	1.75	45.0	0.99524	3.33	0.76
5.1	0.510	0.18	2.10	16.0	0.99240	3.46	0.87
8.5	0.320	0.42	2.30	12.0	0.99434	3.14	0.71
9.0	0.785	0.24	1.70	10.0	0.99692	3.29	0.67
8.2	0.330	0.39	2.50	29.0	0.99528	3.32	0.88
6.5	0.340	0.27	2.80	8.0	0.99384	3.21	0.56
7.6	0.500	0.29	2.30	5.0	0.99502	3.32	0.62
9.2	0.360	0.34	1.60	5.0	0.99667	3.20	0.67
9.7	0.420	0.46	2.10	5.0	0.99649	3.27	0.74
7.6	0.360	0.31	1.70	26.0	0.99716	3.46	0.62
7.6	0.360	0.31	1.70	26.0	0.99716	3.46	0.62
6.5	0.610	0.00	2.20	48.0	0.99541	3.61	0.70
6.5	0.880	0.03	5.60	23.0	0.99572	3.58	0.50
5.6	0.915	0.00	2.10	17.0	0.99346	3.68	0.73
8.2	0.350	0.33	2.40	11.0	0.99599	3.27	0.81
9.8	0.390	0.43	1.65	5.0	0.99478	3.19	0.46
6.8	0.660	0.07	1.60	16.0	0.99572	3.29	0.60
6.7	0.640	0.23	2.10	11.0	0.99538	3.36	0.70
6.7	0.640	0.23	2.10	11.0	0.99538	3.36	0.70
8.8	0.955	0.05	1.80	5.0	0.99616	3.30	0.44
9.1	0.400	0.57	4.60	6.0	0.99652	3.28	0.57
6.5	0.885	0.00	2.30	6.0	0.99551	3.56	0.51
7.2	0.250	0.37	2.50	11.0	0.99439	3.52	0.80
7.0	0.745	0.12	1.80	15.0	0.99588	3.22	0.59
6.2	0.430	0.22	1.80	21.0	0.99633	3.52	0.60
7.7	0.570	0.21	1.50	4.0	0.99458	3.16	0.54
7.7	0.260	0.26	2.00	19.0	0.99510	3.15	0.79
7.9	0.580	0.23	2.30	23.0	0.99686	3.21	0.58
7.7	0.570	0.21	1.50	4.0	0.99458	3.16	0.54
7.9	0.340	0.36	1.90	5.0	0.99419	3.27	0.54
8.6	0.420	0.39	1.80	6.0	0.99516	3.35	0.69
9.9	0.740	0.19	5.80	33.0	0.99878	3.14	0.55
7.2	0.360	0.46	2.10	24.0	0.99534	3.40	0.85
7.2	0.360	0.46	2.10	24.0	0.99534	3.40	0.85
9.9	0.720	0.55	1.70	24.0	0.99752	3.35	0.94
7.2	0.360	0.46	2.10	24.0	0.99534	3.40	0.85
6.2	0.390	0.43	2.00	14.0	0.99428	3.45	0.87
6.8	0.650	0.02	2.10	8.0	0.99498	3.35	0.62
6.8	0.650	0.02	2.10	8.0	0.99498	3.35	0.62
10.2	0.330	0.46	1.90	6.0	0.99628	3.10	0.48
7.9	0.570	0.31	2.00	10.0	0.99677	3.29	0.69
9.0	0.390	0.40	1.30	25.0	0.99478	3.20	0.83
10.9	0.320	0.52	1.80	17.0	0.99734	3.28	0.77
10.9	0.320	0.52	1.80	17.0	0.99734	3.28	0.77
12.6	0.390	0.49	2.50	8.0	0.99920	3.07	0.82
9.2	0.460	0.23	2.60	18.0	0.99922	3.15	0.51
7.5	0.580	0.03	4.10	27.0	0.99592	3.02	0.47
9.0	0.580	0.25	2.00	8.0	0.99769	3.27	0.72
5.1	0.420	0.00	1.80	18.0	0.99157	3.68	0.73
7.6	0.430	0.29	2.10	19.0	0.99718	3.40	0.64
7.7	0.180	0.34	2.70	15.0	0.99470	3.37	0.78
7.8	0.815	0.01	2.60	48.0	0.99621	3.38	0.62
7.6	0.430	0.29	2.10	19.0	0.99718	3.40	0.64
7.1	0.750	0.01	2.20	11.0	0.99242	3.39	0.40
7.8	0.550	0.00	1.70	7.0	0.99659	3.26	0.64
7.1	0.750	0.01	2.20	11.0	0.99242	3.39	0.40
8.1	0.730	0.00	2.50	12.0	0.99798	3.38	0.46
6.5	0.670	0.00	4.30	11.0	0.99488	3.45	0.56
7.5	0.610	0.20	1.70	36.0	0.99494	3.10	0.40
8.3	0.560	0.22	2.40	10.0	0.99830	3.37	0.62
7.4	0.550	0.19	1.80	15.0	0.99655	3.49	0.68
7.4	0.740	0.07	1.70	15.0	0.99502	3.12	0.48
7.1	0.600	0.01	2.30	24.0	0.99514	3.40	0.61
7.5	0.580	0.14	2.20	27.0	0.99630	3.28	0.59
7.1	0.720	0.00	1.80	6.0	0.99627	3.45	0.58
7.9	0.660	0.00	1.40	6.0	0.99569	3.43	0.58
7.8	0.700	0.06	1.90	20.0	0.99628	3.40	0.69
7.5	0.590	0.22	1.80	43.0	0.99499	3.10	0.42
7.0	0.580	0.28	4.80	12.0	0.99633	3.32	0.70
6.8	0.640	0.00	2.70	15.0	0.99538	3.44	0.63
8.6	0.635	0.68	1.80	19.0	0.99632	3.02	1.15
6.3	1.020	0.00	2.00	17.0	0.99437	3.59	0.55
9.8	0.450	0.38	2.50	34.0	0.99726	3.15	0.58
8.5	0.370	0.32	1.80	26.0	0.99456	3.38	0.72
7.2	0.570	0.05	2.30	16.0	0.99564	3.38	0.60
7.2	0.570	0.05	2.30	16.0	0.99564	3.38	0.60
10.4	0.430	0.50	2.30	13.0	0.99600	3.10	0.87
6.9	0.410	0.31	2.00	21.0	0.99668	3.47	0.55
5.0	0.380	0.01	1.60	26.0	0.99084	3.70	0.75
7.3	0.440	0.20	1.60	24.0	0.99350	3.38	0.57
5.9	0.460	0.00	1.90	25.0	0.99385	3.50	0.53
7.5	0.580	0.20	2.00	34.0	0.99494	3.10	0.43
7.8	0.580	0.13	2.10	17.0	0.99440	3.24	0.53
8.0	0.715	0.22	2.30	13.0	0.99688	3.24	0.54
8.5	0.400	0.40	6.30	3.0	0.99566	3.28	0.56
7.0	0.690	0.00	1.90	3.0	0.99636	3.35	0.60
8.0	0.715	0.22	2.30	13.0	0.99688	3.24	0.54
9.8	0.300	0.39	1.70	3.0	0.99480	3.14	0.57
7.1	0.460	0.20	1.90	28.0	0.99560	3.37	0.64
7.1	0.460	0.20	1.90	28.0	0.99560	3.37	0.64
7.9	0.765	0.00	2.00	9.0	0.99619	3.33	0.68
8.7	0.630	0.28	2.70	17.0	0.99734	3.26	0.63
7.0	0.420	0.19	2.30	18.0	0.99476	3.39	0.56
11.3	0.370	0.50	1.80	20.0	0.99734	3.15	0.57
7.0	0.600	0.30	4.50	20.0	0.99914	3.30	1.17
7.0	0.600	0.30	4.50	20.0	0.99914	3.30	1.17
7.6	0.740	0.00	1.90	6.0	0.99521	3.36	0.59
8.2	0.635	0.10	2.10	25.0	0.99638	3.29	0.75
5.9	0.395	0.13	2.40	14.0	0.99362	3.62	0.67
6.6	0.630	0.00	4.30	51.0	0.99558	3.20	0.45
7.2	0.530	0.14	2.10	15.0	0.99323	3.35	0.61
5.7	0.600	0.00	1.40	11.0	0.99191	3.45	0.56
7.6	1.580	0.00	2.10	5.0	0.99476	3.50	0.40
5.2	0.645	0.00	2.15	15.0	0.99444	3.78	0.61
6.7	0.860	0.07	2.00	20.0	0.99598	3.60	0.74
9.1	0.370	0.32	2.10	4.0	0.99576	3.30	0.80
7.6	0.790	0.21	2.30	21.0	0.99550	3.12	0.44
7.5	0.610	0.26	1.90	24.0	0.99612	3.30	0.53
9.7	0.690	0.32	2.50	22.0	0.99790	3.29	0.62
7.0	0.620	0.10	1.40	27.0	0.99600	3.28	0.61
6.5	0.510	0.15	3.00	12.0	0.99290	3.33	0.59
8.0	1.180	0.21	1.90	14.0	0.99532	3.34	0.47
7.5	0.630	0.27	2.00	17.0	0.99616	3.26	0.58
5.4	0.740	0.00	1.20	16.0	0.99258	4.01	0.59
9.1	0.760	0.68	1.70	18.0	0.99652	2.90	1.33
5.0	0.740	0.00	1.20	16.0	0.99258	4.01	0.59
9.1	0.340	0.42	1.80	9.0	0.99392	3.18	0.55
6.7	0.460	0.24	1.70	18.0	0.99480	3.39	0.60
6.7	0.460	0.24	1.70	18.0	0.99480	3.39	0.60
6.7	0.460	0.24	1.70	18.0	0.99480	3.39	0.60
6.7	0.460	0.24	1.70	18.0	0.99480	3.39	0.60
6.5	0.520	0.11	1.80	13.0	0.99550	3.34	0.52
7.4	0.600	0.26	2.10	17.0	0.99616	3.29	0.56
7.4	0.600	0.26	2.10	17.0	0.99616	3.29	0.56
7.8	0.870	0.26	3.80	31.0	0.99668	3.26	0.46
8.4	0.390	0.10	1.70	6.0	0.99581	3.09	0.43
9.1	0.775	0.22	2.20	12.0	0.99760	3.18	0.51
7.2	0.835	0.00	2.00	4.0	0.99608	3.39	0.52
6.6	0.580	0.02	2.40	19.0	0.99387	3.38	0.66
6.0	0.500	0.00	1.40	15.0	0.99448	3.36	0.45
6.0	0.500	0.00	1.40	15.0	0.99448	3.36	0.45
6.0	0.500	0.00	1.40	15.0	0.99448	3.36	0.45
7.5	0.510	0.02	1.70	13.0	0.99538	3.36	0.54
7.5	0.510	0.02	1.70	13.0	0.99538	3.36	0.54
7.5	0.510	0.02	1.70	13.0	0.99538	3.36	0.54
7.5	0.510	0.02	1.70	13.0	0.99538	3.36	0.54
11.5	0.420	0.48	2.60	8.0	0.99852	3.09	0.53
8.2	0.440	0.24	2.30	10.0	0.99613	3.25	0.53
6.1	0.590	0.01	2.10	5.0	0.99472	3.52	0.56
7.2	0.655	0.03	1.80	7.0	0.99587	3.34	0.39
7.2	0.620	0.01	2.30	8.0	0.99332	3.32	0.51
7.6	0.645	0.03	1.90	14.0	0.99690	3.37	0.46
6.1	0.320	0.25	1.80	5.0	0.99464	3.36	0.44
6.1	0.340	0.25	1.80	4.0	0.99464	3.36	0.44
7.3	0.430	0.24	2.50	27.0	0.99648	3.60	0.59
7.4	0.640	0.17	5.40	52.0	0.99736	3.28	0.50
11.6	0.475	0.40	1.40	6.0	0.99704	3.07	0.65
8.3	0.850	0.14	2.50	13.0	0.99724	3.36	0.54
11.6	0.475	0.40	1.40	6.0	0.99704	3.07	0.65
7.2	0.605	0.02	1.90	10.0	0.99500	3.46	0.53
7.3	0.740	0.08	1.70	10.0	0.99576	3.24	0.50
6.9	0.540	0.30	2.20	9.0	0.99725	3.25	1.18
8.0	0.770	0.32	2.10	16.0	0.99656	3.27	0.50
8.7	0.780	0.51	1.70	12.0	0.99623	3.00	1.17
7.5	0.580	0.56	3.10	5.0	0.99476	3.21	1.03
8.7	0.780	0.51	1.70	12.0	0.99623	3.00	1.17
8.2	0.885	0.20	1.40	7.0	0.99460	3.11	0.46
7.2	0.450	0.15	2.00	10.0	0.99609	3.29	0.51
7.5	0.570	0.02	2.60	11.0	0.99557	3.36	0.62
7.5	0.570	0.02	2.60	11.0	0.99557	3.36	0.62
8.0	0.600	0.22	2.10	25.0	0.99613	3.30	0.49
8.0	0.600	0.22	2.10	25.0	0.99613	3.30	0.49
7.1	0.755	0.15	1.80	20.0	0.99593	3.19	0.50
8.0	0.810	0.25	3.40	34.0	0.99668	3.19	0.42
7.4	0.640	0.07	1.80	8.0	0.99610	3.30	0.58
6.6	0.640	0.31	6.10	7.0	0.99718	3.35	0.68
6.0	0.490	0.00	2.30	15.0	0.99292	3.58	0.59
8.0	0.640	0.22	2.40	5.0	0.99612	3.37	0.58
7.1	0.620	0.06	1.30	5.0	0.99420	3.17	0.48
8.0	0.520	0.25	2.00	19.0	0.99612	3.30	0.48
8.6	0.685	0.10	1.60	3.0	0.99745	3.31	0.65
8.7	0.675	0.10	1.60	4.0	0.99745	3.31	0.65
7.3	0.590	0.26	2.00	17.0	0.99584	3.28	0.52
7.2	0.670	0.00	2.20	10.0	0.99560	3.42	0.72
7.9	0.690	0.21	2.10	33.0	0.99620	3.25	0.51
7.6	0.300	0.42	2.00	6.0	0.99630	3.44	0.82
7.2	0.330	0.33	1.70	3.0	0.99600	3.23	1.10
8.0	0.500	0.39	2.60	12.0	0.99850	3.43	0.62
8.2	0.240	0.34	5.10	8.0	0.99740	3.22	0.94
6.0	0.510	0.00	2.10	40.0	0.99500	3.54	0.93
8.1	0.290	0.36	2.20	35.0	0.99500	3.27	1.01
6.0	0.510	0.00	2.10	40.0	0.99500	3.54	0.93
6.6	0.960	0.00	1.80	5.0	0.99360	3.50	0.44
6.4	0.470	0.40	2.40	8.0	0.99630	3.56	0.73
8.2	0.240	0.34	5.10	8.0	0.99740	3.22	0.94
9.9	0.570	0.25	2.00	12.0	0.99630	3.04	0.90
10.0	0.320	0.59	2.20	3.0	0.99940	3.20	0.78
6.2	0.580	0.00	1.60	8.0	0.99660	3.56	0.84
10.0	0.320	0.59	2.20	3.0	0.99940	3.20	0.78
7.3	0.340	0.33	2.50	21.0	0.99520	3.35	0.77
7.8	0.530	0.01	1.60	3.0	0.99500	3.16	0.46
7.7	0.640	0.21	2.20	32.0	0.99560	3.27	0.45
7.8	0.530	0.01	1.60	3.0	0.99500	3.16	0.46
7.5	0.400	0.18	1.60	24.0	0.99650	3.34	0.58
7.0	0.540	0.00	2.10	39.0	0.99560	3.39	0.84
6.4	0.530	0.09	3.90	14.0	0.99680	3.50	0.67
7.6	0.410	0.33	2.50	6.0	0.99570	3.30	0.58
7.8	0.640	0.00	1.90	27.0	0.99620	3.31	0.63
7.9	0.180	0.40	2.20	38.0	0.99600	3.33	0.93
7.4	0.410	0.24	1.80	18.0	0.99560	3.37	0.62
7.6	0.430	0.31	2.10	13.0	0.99580	3.26	0.54
6.1	0.400	0.16	1.80	11.0	0.99550	3.42	0.74
10.2	0.540	0.37	15.40	55.0	1.00369	3.18	0.77
10.0	0.380	0.38	1.60	27.0	0.99914	3.15	0.65
6.8	0.915	0.29	4.80	15.0	0.99577	3.53	0.54
7.0	0.590	0.00	1.70	3.0	0.99600	3.41	0.47
7.3	0.670	0.02	2.20	31.0	0.99566	3.32	0.68
6.9	0.580	0.20	1.75	8.0	0.99322	3.38	0.49
7.4	0.785	0.19	5.20	19.0	0.99713	3.16	0.52
6.8	0.670	0.00	1.90	22.0	0.99701	3.40	0.74
7.2	0.380	0.31	2.00	15.0	0.99472	3.23	0.76
7.2	0.370	0.32	2.00	15.0	0.99470	3.23	0.73
7.8	0.320	0.44	2.70	8.0	0.99732	3.33	0.78
6.6	0.580	0.02	2.00	37.0	0.99374	3.35	0.76
11.7	0.450	0.63	2.20	7.0	0.99974	3.21	0.69
6.5	0.900	0.00	1.60	9.0	0.99467	3.50	0.63
7.6	0.490	0.33	1.90	27.0	0.99706	3.41	0.58
8.4	0.290	0.40	1.70	8.0	0.99603	3.39	0.60
7.9	0.200	0.35	1.70	7.0	0.99458	3.32	0.80
6.4	0.420	0.09	2.30	34.0	0.99724	3.41	0.68
6.2	0.785	0.00	2.10	6.0	0.99664	3.59	0.61
6.9	0.630	0.01	2.40	14.0	0.99522	3.34	0.53
6.8	0.590	0.10	1.70	34.0	0.99580	3.41	0.67
7.3	0.480	0.32	2.10	31.0	0.99728	3.30	0.65
6.7	1.040	0.08	2.30	19.0	0.99648	3.52	0.57
7.3	0.480	0.32	2.10	31.0	0.99728	3.30	0.65
7.3	0.980	0.05	2.10	20.0	0.99705	3.31	0.55
10.0	0.690	0.11	1.40	8.0	0.99578	2.88	0.47
6.7	0.700	0.08	3.75	8.0	0.99334	3.43	0.52
7.6	0.350	0.60	2.60	23.0	0.99656	3.38	0.79
6.1	0.600	0.08	1.80	14.0	0.99336	3.38	0.54
9.9	0.500	0.50	13.80	48.0	1.00242	3.16	0.75
5.3	0.470	0.11	2.20	16.0	0.99182	3.54	0.88
9.9	0.500	0.50	13.80	48.0	1.00242	3.16	0.75
5.3	0.470	0.11	2.20	16.0	0.99182	3.54	0.88
7.1	0.875	0.05	5.70	3.0	0.99808	3.40	0.52
8.2	0.280	0.60	3.00	10.0	0.99828	3.39	0.68
5.6	0.620	0.03	1.50	6.0	0.99498	3.66	0.62
8.2	0.280	0.60	3.00	10.0	0.99828	3.39	0.68
8.1	0.330	0.44	1.50	6.0	0.99542	3.35	0.61
7.0	0.655	0.16	2.10	8.0	0.99606	3.37	0.55
6.8	0.680	0.21	2.10	9.0	0.99546	3.38	0.60
6.0	0.640	0.05	1.90	9.0	0.99496	3.52	0.78
5.6	0.540	0.04	1.70	5.0	0.99420	3.72	0.58
7.1	0.220	0.49	1.80	8.0	0.99344	3.39	0.56
6.2	0.650	0.06	1.60	6.0	0.99348	3.57	0.54
7.7	0.540	0.26	1.90	23.0	0.99636	3.26	0.59
6.4	0.310	0.09	1.40	15.0	0.99459	3.42	0.70
7.0	0.430	0.02	1.90	15.0	0.99492	3.35	0.81
6.9	0.740	0.03	2.30	7.0	0.99508	3.45	0.63
6.9	0.740	0.03	2.30	7.0	0.99508	3.45	0.63
7.8	0.820	0.29	4.30	21.0	0.99642	3.16	0.53
6.2	0.440	0.39	2.50	6.0	0.99555	3.51	0.69
7.5	0.380	0.57	2.30	5.0	0.99605	3.36	0.55
6.7	0.760	0.02	1.80	6.0	0.99600	3.55	0.63
6.8	0.810	0.05	2.00	6.0	0.99562	3.51	0.66
7.5	0.380	0.57	2.30	5.0	0.99605	3.36	0.55
7.1	0.270	0.60	2.10	17.0	0.99814	3.38	0.72
7.9	0.180	0.40	1.80	7.0	0.99410	3.28	0.70
6.4	0.360	0.21	2.20	26.0	0.99661	3.47	0.77
7.1	0.690	0.04	2.10	19.0	0.99712	3.44	0.67
6.9	0.840	0.21	4.10	16.0	0.99842	3.53	0.72
6.9	0.840	0.21	4.10	16.0	0.99842	3.53	0.72
6.5	0.530	0.06	2.00	29.0	0.99489	3.38	0.83
7.4	0.470	0.46	2.20	7.0	0.99647	3.32	0.63
6.6	0.700	0.08	2.60	14.0	0.99665	3.44	0.58
6.1	0.320	0.25	2.30	23.0	0.99633	3.42	0.97
6.8	0.480	0.25	2.00	29.0	0.99530	3.34	0.60
6.7	0.480	0.08	2.10	18.0	0.99552	3.33	0.64
6.8	0.470	0.08	2.20	18.0	0.99553	3.30	0.65
7.9	0.290	0.49	2.20	21.0	0.99714	3.31	0.67
7.1	0.690	0.08	2.10	42.0	0.99608	3.42	0.60
6.6	0.440	0.09	2.20	9.0	0.99444	3.42	0.69
6.1	0.705	0.10	2.80	13.0	0.99631	3.60	0.66
7.2	0.530	0.13	2.00	18.0	0.99573	3.21	0.68
8.0	0.390	0.30	1.90	32.0	0.99717	3.39	0.61
6.6	0.560	0.14	2.40	13.0	0.99397	3.42	0.62
7.0	0.550	0.13	2.20	15.0	0.99590	3.36	0.59
6.2	0.640	0.09	2.50	15.0	0.99538	3.57	0.63
6.2	0.520	0.08	4.40	11.0	0.99646	3.56	0.63
8.4	0.370	0.43	2.30	12.0	0.99550	3.17	0.81
6.5	0.630	0.33	1.80	16.0	0.99531	3.36	0.64
7.0	0.570	0.02	2.00	17.0	0.99575	3.36	0.61
11.2	0.400	0.50	2.00	19.0	0.99783	3.10	0.58
7.4	0.360	0.30	1.80	17.0	0.99419	3.24	0.70
7.1	0.670	0.00	2.30	18.0	0.99768	3.44	0.54
6.3	0.680	0.01	3.70	32.0	0.99586	3.51	0.66
7.3	0.735	0.00	2.20	18.0	0.99765	3.41	0.60
7.0	0.560	0.17	1.70	15.0	0.99514	3.44	0.68
6.6	0.880	0.04	2.20	12.0	0.99636	3.53	0.56
6.6	0.855	0.02	2.40	15.0	0.99627	3.54	0.60
6.9	0.630	0.33	6.70	66.0	0.99787	3.22	0.56
7.8	0.600	0.26	2.00	31.0	0.99622	3.21	0.52
7.8	0.600	0.26	2.00	31.0	0.99622	3.21	0.52
7.8	0.600	0.26	2.00	31.0	0.99622	3.21	0.52
7.2	0.695	0.13	2.00	12.0	0.99546	3.29	0.54
7.2	0.695	0.13	2.00	12.0	0.99546	3.29	0.54
6.7	0.670	0.02	1.90	26.0	0.99489	3.39	0.82
6.7	0.160	0.64	2.10	24.0	0.99494	3.34	0.71
7.2	0.695	0.13	2.00	12.0	0.99546	3.29	0.54
7.0	0.560	0.13	1.60	25.0	0.99629	3.34	0.59
6.2	0.510	0.14	1.90	15.0	0.99396	3.48	0.57
6.4	0.360	0.53	2.20	19.0	0.99340	3.37	0.93
6.4	0.380	0.14	2.20	15.0	0.99514	3.44	0.65
7.3	0.690	0.32	2.20	35.0	0.99632	3.33	0.51
6.0	0.580	0.20	2.40	15.0	0.99467	3.58	0.67
7.5	0.520	0.40	2.20	12.0	0.99474	3.26	0.64
8.0	0.300	0.63	1.60	16.0	0.99588	3.30	0.78
6.2	0.700	0.15	5.10	13.0	0.99622	3.54	0.60
6.8	0.670	0.15	1.80	13.0	0.99540	3.42	0.67
7.4	0.350	0.33	2.40	9.0	0.99470	3.36	0.60
6.1	0.715	0.10	2.60	13.0	0.99362	3.57	0.50
6.2	0.460	0.29	2.10	32.0	0.99578	3.33	0.62
6.7	0.320	0.44	2.40	24.0	0.99484	3.29	0.80
7.5	0.310	0.41	2.40	34.0	0.99492	3.34	0.85
5.8	0.610	0.11	1.80	18.0	0.99483	3.55	0.66
6.3	0.550	0.15	1.80	26.0	0.99314	3.32	0.82
5.4	0.740	0.09	1.70	16.0	0.99402	3.67	0.56
6.3	0.510	0.13	2.30	29.0	0.99574	3.42	0.75
6.8	0.620	0.08	1.90	28.0	0.99651	3.42	0.82
6.2	0.600	0.08	2.00	32.0	0.99490	3.45	0.58
5.9	0.550	0.10	2.20	39.0	0.99512	3.52	0.76
5.9	0.645	0.12	2.00	32.0	0.99547	3.57	0.71

Bartlett’s Test

cor_matrix_final <- cor(data_final_vars)
bartlett_result <- cortest.bartlett(cor_matrix_final,
                                    n = nrow(data_final_vars))
bartlett_result

## $chisq
## [1] 3216.284
## 
## $p.value
## [1] 0
## 
## $df
## [1] 28

bartlett_result <- cortest.bartlett(cor(data_final_vars),
                                    n = nrow(data_final_vars))

bart_table <- data.frame(
  `Metode Pengujian` = "Bartlett's Test of Sphericity",
  `Chi-Square` = round(as.numeric(bartlett_result$chisq), 4),
  `df` = bartlett_result$df,
  `P-Value` = ifelse(bartlett_result$p.value < 0.001, "< 0.001", round(bartlett_result$p.value, 4))
)

kable(bart_table,
      align = "lccc", # l=left untuk teks, c=center untuk angka
      caption = "Tabel 5. Hasil Uji Bartlett ")

Tabel 5. Hasil Uji Bartlett
Metode.Pengujian	Chi.Square	df	P.Value
Bartlett’s Test of Sphericity	3216.285	28	< 0.001

PCA

data_scaled_pca <- scale(data_final_vars)
pca_initial <- principal(data_scaled_pca, nfactors = ncol(data_scaled_pca), rotate = "none")
eigenvalues <- pca_initial$values

n_comp <- sum(eigenvalues > 1)
cat("Jumlah Komponen Utama yang diambil (Eigenvalue > 1):", n_comp, "\n")

## Jumlah Komponen Utama yang diambil (Eigenvalue > 1): 3

pca_final <- principal(data_scaled_pca, nfactors = n_comp, rotate = "varimax")
pca_final

## Principal Components Analysis
## Call: principal(r = data_scaled_pca, nfactors = n_comp, rotate = "varimax")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                       RC1   RC2   RC3   h2   u2 com
## fixed.acidity        0.90  0.23 -0.09 0.87 0.13 1.2
## volatile.acidity    -0.07 -0.83  0.06 0.70 0.30 1.0
## citric.acid          0.61  0.64 -0.01 0.78 0.22 2.0
## residual.sugar       0.39 -0.12  0.71 0.67 0.33 1.6
## free.sulfur.dioxide -0.27  0.17  0.79 0.72 0.28 1.3
## density              0.83 -0.11  0.24 0.75 0.25 1.2
## pH                  -0.70 -0.31  0.11 0.60 0.40 1.4
## sulphates            0.08  0.65  0.10 0.43 0.57 1.1
## 
##                        RC1  RC2  RC3
## SS loadings           2.60 1.72 1.21
## Proportion Var        0.32 0.22 0.15
## Cumulative Var        0.32 0.54 0.69
## Proportion Explained  0.47 0.31 0.22
## Cumulative Proportion 0.47 0.78 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 3 components are sufficient.
## 
## The root mean square of the residuals (RMSR) is  0.08 
##  with the empirical chi square  369.3  with prob <  9.1e-76 
## 
## Fit based upon off diagonal values = 0.94

Eigenvalue

variance_table <- data.frame(
  Komponen = paste0("PC", 1:length(eigenvalues)),
  Eigenvalue = eigenvalues,
  Proporsi_Varian = pca_initial$Vaccounted[2, ],
  Kumulatif = pca_initial$Vaccounted[3, ]
)

rounded_data <- data.frame(
  Eigenvalue = round(variance_table$Eigenvalue, 3),
  Proporsi_Varian = round(variance_table$Proporsi_Varian, 3),
  Kumulatif = round(variance_table$Kumulatif, 3)
)

final_table_for_kable <- cbind(Komponen = variance_table$Komponen, rounded_data)

kable(final_table_for_kable,
      caption = "Tabel 6. Eigenvalue dan Proporsi Keragaman PCA")

Tabel 6. Eigenvalue dan Proporsi Keragaman PCA
Komponen	Eigenvalue	Proporsi_Varian	Kumulatif
PC1	3.027	0.378	0.378
PC2	1.336	0.167	0.545
PC3	1.165	0.146	0.691
PC4	0.793	0.099	0.790
PC5	0.733	0.092	0.882
PC6	0.507	0.063	0.945
PC7	0.295	0.037	0.982
PC8	0.145	0.018	1.000

plot(eigenvalues, type = "b",
     main = "Scree Plot PCA",
     xlab = "Komponen",
     ylab = "Eigenvalue")
abline(h = 1, col = "red", lty = 2)

fa_result <- fa(data_scaled_pca,
                nfactors = 3,
                rotate = "varimax",
                fm = "ml")

fa_result

## Factor Analysis using method =  ml
## Call: fa(r = data_scaled_pca, nfactors = 3, rotate = "varimax", fm = "ml")
## Standardized loadings (pattern matrix) based upon correlation matrix
##                       ML3   ML2   ML1    h2    u2 com
## fixed.acidity        0.34  0.85  0.40 0.995 0.005 1.8
## volatile.acidity    -0.67 -0.06  0.07 0.457 0.543 1.0
## citric.acid          0.80  0.36  0.24 0.830 0.170 1.6
## residual.sugar       0.10 -0.03  0.41 0.183 0.817 1.1
## free.sulfur.dioxide  0.03 -0.22  0.02 0.049 0.951 1.1
## density              0.04  0.35  0.93 0.995 0.005 1.3
## pH                  -0.36 -0.60 -0.14 0.506 0.494 1.8
## sulphates            0.39 -0.01  0.14 0.170 0.830 1.3
## 
##                        ML3  ML2  ML1
## SS loadings           1.49 1.38 1.31
## Proportion Var        0.19 0.17 0.16
## Cumulative Var        0.19 0.36 0.52
## Proportion Explained  0.36 0.33 0.31
## Cumulative Proportion 0.36 0.69 1.00
## 
## Mean item complexity =  1.4
## Test of the hypothesis that 3 factors are sufficient.
## 
## df null model =  28  with the objective function =  2.83 with Chi Square =  3216.28
## df of  the model are 7  and the objective function was  0.06 
## 
## The root mean square of the residuals (RMSR) is  0.04 
## The df corrected root mean square of the residuals is  0.07 
## 
## The harmonic n.obs is  1143 with the empirical chi square  42.19  with prob <  4.8e-07 
## The total n.obs was  1143  with Likelihood Chi Square =  72.13  with prob <  5.5e-13 
## 
## Tucker Lewis Index of factoring reliability =  0.918
## RMSEA index =  0.09  and the 90 % confidence intervals are  0.072 0.11
## BIC =  22.84
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy             
##                                                    ML3  ML2  ML1
## Correlation of (regression) scores with factors   0.89 0.97 0.99
## Multiple R square of scores with factors          0.79 0.94 0.99
## Minimum correlation of possible factor scores     0.59 0.89 0.97

loading_table <- as.data.frame(unclass(fa_result$loadings))

kable(round(loading_table,3),
      caption = "Tabel 7. Factor Loading Setelah Rotasi Varimax")

Tabel 7. Factor Loading Setelah Rotasi Varimax
	ML3	ML2	ML1
fixed.acidity	0.336	0.849	0.401
volatile.acidity	-0.670	-0.061	0.066
citric.acid	0.801	0.364	0.236
residual.sugar	0.098	-0.032	0.415
free.sulfur.dioxide	0.033	-0.218	0.022
density	0.036	0.347	0.935
pH	-0.361	-0.596	-0.143
sulphates	0.386	-0.015	0.143

TUGAS MODUL

Fitri Saidatur Hanifah dan Muh. Argya Ishmat

2026-03-04